From f10808dd7ac2474c77d67741567eb4efe0ef93d7 Mon Sep 17 00:00:00 2001
From: Gabriel Jang <gabrieljang@Gabriels-MacBook-Air.local>
Date: Sun, 23 Aug 2026 21:32:51 +0900
Subject: [PATCH 1/7] feat(evidence): add versioned workbench projections

---
 app/artifacts.py                              | 225 +++++++
 app/server.py                                 |  69 ++-
 app/workbench.py                              | 571 ++++++++++++++++++
 contracts/schemas/passenger-trace.schema.json |  28 +
 contracts/schemas/run-artifact.schema.json    |  36 ++
 scripts/generate_trace.py                     |  39 +-
 scripts/validate_artifacts.py                 | 104 ++++
 tests/test_server.py                          |  26 +-
 tests/test_workbench.py                       | 117 ++++
 9 files changed, 1210 insertions(+), 5 deletions(-)
 create mode 100644 app/artifacts.py
 create mode 100644 app/workbench.py
 create mode 100644 contracts/schemas/passenger-trace.schema.json
 create mode 100644 contracts/schemas/run-artifact.schema.json
 create mode 100644 scripts/validate_artifacts.py
 create mode 100644 tests/test_workbench.py

diff --git a/app/artifacts.py b/app/artifacts.py
new file mode 100644
index 0000000..00ce6b0
--- /dev/null
+++ b/app/artifacts.py
@@ -0,0 +1,225 @@
+from __future__ import annotations
+
+import hashlib
+import json
+from datetime import UTC, datetime
+from pathlib import Path
+from typing import Any
+
+from .domain import SimulationConfig
+from .simulator import ElevatorSimulation
+from .trace import PassengerTrace
+
+
+ROOT = Path(__file__).resolve().parents[1]
+SIMULATOR_VERSION = "0.1.0"
+ARTIFACT_VERSION = "1.0.0"
+
+
+def _created_at() -> str:
+    """Return an ISO-8601 timestamp for transient artifact envelopes."""
+
+    return datetime.now(UTC).isoformat()
+
+
+def _sha256_json(payload: object) -> str:
+    """Hash a JSON-compatible value with deterministic serialization."""
+
+    raw = json.dumps(payload, sort_keys=True, separators=(",", ":")).encode("utf-8")
+    return hashlib.sha256(raw).hexdigest()
+
+
+def build_passenger_trace_manifest(
+    trace: PassengerTrace,
+    config: SimulationConfig,
+) -> dict[str, Any]:
+    """Build the canonical versioned manifest for a materialized passenger trace."""
+
+    identity_payload = {
+        "scenario": trace.scenario,
+        "seed": trace.seed,
+        "building": config.as_dict(),
+        "trace_sha256": trace.digest,
+    }
+    return {
+        "schema_version": "elevator-queue-lab.trace-manifest.v1",
+        "artifact_version": ARTIFACT_VERSION,
+        "generator_version": "elevator-queue-lab.demand.v2",
+        "seed": trace.seed,
+        "scenario": trace.scenario,
+        "building_configuration": config.as_dict(),
+        "traffic_contract": "office-demand-85-10-5",
+        "duration_seconds": trace.duration_seconds,
+        "sha256": trace.digest,
+        "identity_sha256": _sha256_json(identity_payload),
+        "created_at": _created_at(),
+        "source": "materialized_trace",
+    }
+
+
+def build_trace_manifest(simulation: ElevatorSimulation) -> dict[str, Any]:
+    """Describe the deterministic passenger source without mutating it."""
+
+    if simulation.trace is not None:
+        return build_passenger_trace_manifest(simulation.trace, simulation.config)
+    identity_payload = {
+        "scenario": simulation.scenario,
+        "seed": simulation.seed,
+        "building": simulation.config.as_dict(),
+        "trace_sha256": None,
+    }
+    return {
+        "schema_version": "elevator-queue-lab.trace-manifest.v1",
+        "artifact_version": ARTIFACT_VERSION,
+        "generator_version": "elevator-queue-lab.demand.v2",
+        "seed": simulation.seed,
+        "scenario": simulation.scenario,
+        "building_configuration": simulation.config.as_dict(),
+        "traffic_contract": "office-demand-85-10-5",
+        "duration_seconds": int(simulation.sim_time),
+        "sha256": None,
+        "identity_sha256": _sha256_json(identity_payload),
+        "created_at": _created_at(),
+        "source": "seeded_demand_generator",
+    }
+
+
+def build_run_artifact(simulation: ElevatorSimulation, run_id: str) -> dict[str, Any]:
+    """Create a versioned envelope around the current simulator run."""
+
+    snapshot = simulation.snapshot()
+    trace_manifest = build_trace_manifest(simulation)
+    created_at = _created_at()
+    provenance = {
+        "schema_version": "elevator-queue-lab.provenance.v1",
+        "artifact_version": ARTIFACT_VERSION,
+        "simulator_version": SIMULATOR_VERSION,
+        "source": "live_simulator",
+        "seed": simulation.seed,
+        "scenario": simulation.scenario,
+        "policy": simulation.policy_name,
+        "config": simulation.config.as_dict(),
+        "created_at": created_at,
+        "trace_sha256": trace_manifest["sha256"],
+        "trace_identity_sha256": trace_manifest["identity_sha256"],
+        "evidence_source": None,
+        "evidence_sources": [
+            "evidence/m3-regression-baseline.json",
+            "evidence/m5-heldout-evaluation.json",
+            "evidence/m6-heldout-30seed.json",
+            "evidence/m7-bidirectional-load-sweep.json",
+            "evidence/m7-threshold-validation.json",
+        ],
+    }
+    return {
+        "schema_version": "elevator-queue-lab.run.v1",
+        "artifact_version": ARTIFACT_VERSION,
+        "simulator_version": SIMULATOR_VERSION,
+        "run_id": run_id,
+        "scenario": simulation.scenario,
+        "policy": simulation.policy_name,
+        "seed": simulation.seed,
+        "sim_time": snapshot["sim_time"],
+        "trace_sha256": trace_manifest["sha256"],
+        "metrics": snapshot["metrics"],
+        "provenance": provenance,
+        "trace_manifest": trace_manifest,
+        "created_at": created_at,
+    }
+
+
+def build_artifact_catalog(simulation: ElevatorSimulation, run_id: str) -> dict[str, Any]:
+    """Expose committed evidence and the live run as typed artifact references."""
+
+    created_at = _created_at()
+    trace_manifest = build_trace_manifest(simulation)
+    live_provenance = {
+        "schema_version": "elevator-queue-lab.provenance.v1",
+        "artifact_version": ARTIFACT_VERSION,
+        "simulator_version": SIMULATOR_VERSION,
+        "source": "live_simulator",
+        "seed": simulation.seed,
+        "scenario": simulation.scenario,
+        "policy": simulation.policy_name,
+        "config": simulation.config.as_dict(),
+        "created_at": created_at,
+        "trace_sha256": trace_manifest["sha256"],
+        "evidence_source": None,
+    }
+    committed = [
+        ("ExperimentArtifact", "evidence/m3-regression-baseline.json"),
+        ("PolicyEvaluationArtifact", "evidence/m5-heldout-evaluation.json"),
+        ("PolicyEvaluationArtifact", "evidence/m6-heldout-30seed.json"),
+        ("TheoryEvidenceArtifact", "evidence/m7-bidirectional-load-sweep.json"),
+        ("TheoryEvidenceArtifact", "evidence/m7-threshold-validation.json"),
+        ("ModelArtifact", "models/m5-ddqn-baseline.json"),
+    ]
+    artifacts: list[dict[str, Any]] = [
+        {
+            "artifact_type": "SimulationRunArtifact",
+            "schema_version": "elevator-queue-lab.run.v1",
+            "artifact_version": ARTIFACT_VERSION,
+            "artifact_id": run_id,
+            "source": "live_simulator",
+            "sha256": None,
+            "provenance": dict(live_provenance),
+        },
+        {
+            "artifact_type": "PassengerTraceArtifact",
+            "schema_version": trace_manifest["schema_version"],
+            "artifact_version": ARTIFACT_VERSION,
+            "artifact_id": f"{run_id}:trace",
+            "source": trace_manifest["source"],
+            "sha256": trace_manifest["sha256"],
+            "provenance": {
+                **live_provenance,
+                "source": trace_manifest["source"],
+            },
+        },
+        {
+            "artifact_type": "DispatchDecisionArtifact",
+            "schema_version": "elevator-queue-lab.dispatch-decisions.v1",
+            "artifact_version": ARTIFACT_VERSION,
+            "artifact_id": f"{run_id}:dispatch-decisions",
+            "source": "decision_history",
+            "sha256": _sha256_json(simulation.decision_history),
+            "provenance": {
+                **live_provenance,
+                "source": "decision_history",
+            },
+        }
+    ]
+    for artifact_type, relative_path in committed:
+        path = ROOT / relative_path
+        if not path.is_file():
+            continue
+        raw = path.read_bytes()
+        payload = json.loads(raw)
+        artifacts.append(
+            {
+                "artifact_type": artifact_type,
+                "schema_version": payload.get("schema", "unknown"),
+                "artifact_version": ARTIFACT_VERSION,
+                "artifact_id": relative_path,
+                "source": relative_path,
+                "sha256": hashlib.sha256(raw).hexdigest(),
+                "provenance": {
+                    "schema_version": "elevator-queue-lab.provenance.v1",
+                    "artifact_version": ARTIFACT_VERSION,
+                    "simulator_version": SIMULATOR_VERSION,
+                    "source": relative_path,
+                    "seed": None,
+                    "scenario": None,
+                    "policy": None,
+                    "config": None,
+                    "created_at": created_at,
+                    "trace_sha256": None,
+                    "evidence_source": relative_path,
+                },
+            }
+        )
+    return {
+        "schema": "elevator-queue-lab.artifact-catalog.v1",
+        "run_id": run_id,
+        "artifacts": artifacts,
+    }
diff --git a/app/server.py b/app/server.py
index 81bf5ad..a716330 100644
--- a/app/server.py
+++ b/app/server.py
@@ -6,14 +6,23 @@
 import mimetypes
 import threading
 import time
+import uuid
 from http import HTTPStatus
 from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
 from pathlib import Path
 from typing import Any
-from urllib.parse import urlparse
+from urllib.parse import parse_qs, urlparse
 
+from .artifacts import build_run_artifact
 from .domain import SimulationConfig
 from .simulator import ElevatorSimulation
+from .workbench import (
+    answer_run_question,
+    build_artifacts_payload,
+    build_decision_graph,
+    build_models_payload,
+    build_objects,
+)
 
 
 ROOT = Path(__file__).resolve().parents[1]
@@ -33,6 +42,7 @@ def __init__(self) -> None:
         self.scenario = "morning"
         self.policy = "capr"
         self.control_mode = "conventional"
+        self.run_id = self._new_run_id()
         self.simulation = self._new_simulation()
         self.replay_frames: list[dict[str, Any]] = []
         self.saved_replay: dict[str, Any] | None = None
@@ -42,6 +52,9 @@ def __init__(self) -> None:
         self.thread = threading.Thread(target=self._loop, daemon=True)
         self.thread.start()
 
+    def _new_run_id(self) -> str:
+        return f"run-{uuid.uuid4().hex[:12]}"
+
     def _new_simulation(self) -> ElevatorSimulation:
         return ElevatorSimulation(
             self.scenario,
@@ -104,7 +117,7 @@ def control(self, payload: dict[str, Any]) -> dict[str, Any]:
             if "speed" in payload:
                 self.speed = max(1, min(120, int(payload["speed"])))
             requires_reset = (
-                action == "reset"
+                action in {"reset", "reset_paused"}
                 or next_scenario != self.scenario
                 or next_policy != self.policy
                 or next_control_mode != self.control_mode
@@ -113,11 +126,12 @@ def control(self, payload: dict[str, Any]) -> dict[str, Any]:
                 self.scenario = next_scenario
                 self.policy = next_policy
                 self.control_mode = next_control_mode
+                self.run_id = self._new_run_id()
                 self.simulation = self._new_simulation()
                 self.replay_frames = []
                 self._last_replay_second = -1
                 self._record_replay_frame(force=True)
-            if action == "pause":
+            if action in {"pause", "reset_paused"}:
                 self.running = False
             elif action in {"start", "reset", "update"}:
                 self.running = True
@@ -191,6 +205,26 @@ def theory(self) -> dict[str, Any]:
             "validation": json.loads(M7_VALIDATION.read_text(encoding="utf-8")),
         }
 
+    def run_artifact(self) -> dict[str, Any]:
+        with self.lock:
+            return build_run_artifact(self.simulation, self.run_id)
+
+    def objects(self, object_type: str | None = None) -> dict[str, Any]:
+        with self.lock:
+            return build_objects(self.simulation, self.run_id, object_type)
+
+    def graph(self) -> dict[str, Any]:
+        with self.lock:
+            return build_decision_graph(self.simulation, self.run_id)
+
+    def ask(self, question: str) -> dict[str, Any]:
+        with self.lock:
+            return answer_run_question(self.simulation, self.run_id, question)
+
+    def artifacts(self) -> dict[str, Any]:
+        with self.lock:
+            return build_artifacts_payload(self.simulation, self.run_id)
+
 
 class Handler(BaseHTTPRequestHandler):
     runner: SimulationRunner
@@ -224,6 +258,35 @@ def do_GET(self) -> None:  # noqa: N802
                     {"error": str(exc)},
                     status=HTTPStatus.NOT_FOUND,
                 )
+        if parsed.path == "/api/runs":
+            return self._send_json(
+                {
+                    "schema": "elevator-queue-lab.runs.v1",
+                    "runs": [self.runner.run_artifact()],
+                }
+            )
+        if parsed.path == f"/api/runs/{self.runner.run_id}":
+            return self._send_json(self.runner.run_artifact())
+        if parsed.path == f"/api/runs/{self.runner.run_id}/objects":
+            object_type = parse_qs(parsed.query).get("type", [None])[0]
+            return self._send_json(self.runner.objects(object_type))
+        if parsed.path == f"/api/runs/{self.runner.run_id}/decisions":
+            return self._send_json(self.runner.objects("DispatchDecision"))
+        if parsed.path == f"/api/runs/{self.runner.run_id}/graph":
+            return self._send_json(self.runner.graph())
+        if parsed.path == f"/api/runs/{self.runner.run_id}/ask":
+            question = parse_qs(parsed.query).get("q", [""])[0]
+            return self._send_json(self.runner.ask(question))
+        if parsed.path == "/api/artifacts":
+            return self._send_json(self.runner.artifacts())
+        if parsed.path == "/api/models":
+            try:
+                return self._send_json(build_models_payload())
+            except FileNotFoundError as exc:
+                return self._send_json(
+                    {"error": str(exc)},
+                    status=HTTPStatus.NOT_FOUND,
+                )
         path = WEB_ROOT / ("index.html" if parsed.path == "/" else parsed.path.lstrip("/"))
         resolved = path.resolve()
         if not str(resolved).startswith(str(WEB_ROOT.resolve())) or not resolved.is_file():
diff --git a/app/workbench.py b/app/workbench.py
new file mode 100644
index 0000000..d78b521
--- /dev/null
+++ b/app/workbench.py
@@ -0,0 +1,571 @@
+from __future__ import annotations
+
+import json
+import re
+from pathlib import Path
+from typing import Any
+
+from .artifacts import build_artifact_catalog, build_run_artifact
+from .simulator import ElevatorSimulation
+
+
+ROOT = Path(__file__).resolve().parents[1]
+M3_BASELINE = ROOT / "evidence" / "m3-regression-baseline.json"
+M5_EVALUATION = ROOT / "evidence" / "m5-heldout-evaluation.json"
+M6_EVALUATION = ROOT / "evidence" / "m6-heldout-30seed.json"
+M7_DISCOVERY = ROOT / "evidence" / "m7-bidirectional-load-sweep.json"
+M7_VALIDATION = ROOT / "evidence" / "m7-threshold-validation.json"
+M5_MODEL = ROOT / "models" / "m5-ddqn-baseline.json"
+
+OBJECT_TYPES = (
+    "Elevator",
+    "Passenger",
+    "HallCall",
+    "DispatchDecision",
+    "SimulationRun",
+    "Scenario",
+    "Policy",
+    "Experiment",
+    "Model",
+    "Evidence",
+    "TheoryEvidence",
+)
+
+SCENARIOS = ("morning", "lunch", "normal", "evening", "shock", "mixed_day")
+POLICIES = ("legacy_sticky", "nearest_car", "collective", "queue_aware", "capr", "rl")
+
+
+def _load(path: Path) -> dict[str, Any]:
+    return json.loads(path.read_text(encoding="utf-8"))
+
+
+def _passenger_objects(simulation: ElevatorSimulation) -> list[dict[str, Any]]:
+    by_id: dict[int, dict[str, Any]] = {}
+    for event in simulation.ledger.events:
+        if event.passenger_id is None:
+            continue
+        passenger = by_id.setdefault(
+            event.passenger_id,
+            {
+                "id": f"P-{event.passenger_id}",
+                "object_type": "Passenger",
+                "passenger_id": event.passenger_id,
+                "origin": None,
+                "destination": None,
+                "arrival": None,
+                "boarding": None,
+                "arrival_at_destination": None,
+                "elevator_id": None,
+                "status": "waiting",
+                "event_sequences": [],
+            },
+        )
+        passenger["event_sequences"].append(event.sequence)
+        if event.kind == "arrival":
+            passenger["origin"] = event.floor
+            passenger["destination"] = event.details.get("destination")
+            passenger["arrival"] = event.sim_time
+        elif event.kind == "board":
+            passenger["boarding"] = event.sim_time
+            passenger["elevator_id"] = event.elevator_id
+            passenger["status"] = "onboard"
+        elif event.kind == "alight":
+            passenger["arrival_at_destination"] = event.sim_time
+            passenger["status"] = "served"
+        elif event.kind == "abandon":
+            passenger["status"] = "abandoned"
+
+    for passenger in by_id.values():
+        arrival = passenger["arrival"]
+        boarding = passenger["boarding"]
+        finished = passenger["arrival_at_destination"]
+        passenger["wait"] = (
+            round(float(boarding) - float(arrival), 3)
+            if arrival is not None and boarding is not None
+            else None
+        )
+        passenger["journey_time"] = (
+            round(float(finished) - float(arrival), 3)
+            if arrival is not None and finished is not None
+            else None
+        )
+    return sorted(by_id.values(), key=lambda item: int(item["passenger_id"]), reverse=True)
+
+
+def _call_id(call: dict[str, Any]) -> str:
+    direction = "up" if int(call["direction"]) > 0 else "down"
+    destination = call.get("destination")
+    suffix = str(destination) if destination is not None else "any"
+    return f"C-{call['bank']}-{call['floor']}-{direction}-{suffix}"
+
+
+def _hall_call_objects(simulation: ElevatorSimulation) -> list[dict[str, Any]]:
+    calls_by_id: dict[str, dict[str, Any]] = {}
+    for call in simulation.snapshot()["calls"]:
+        item = dict(call)
+        item["id"] = _call_id(item)
+        item["object_type"] = "HallCall"
+        item["status"] = "active"
+        item["assignment_history"] = []
+        item["reassignment_history"] = []
+        item["pickup_history"] = []
+        item["final_pickup"] = None
+        item["queue_size"] = next(
+            (
+                simulation.call_queue_size(key)
+                for key, active in simulation.hall_calls.items()
+                if active.floor == item["floor"]
+                and active.direction == item["direction"]
+                and active.bank == item["bank"]
+                and active.destination == item["destination"]
+            ),
+            0,
+        )
+        calls_by_id[item["id"]] = item
+
+    for decision in simulation.decision_history:
+        callspec = {
+            "bank": decision.get("bank"),
+            "floor": decision.get("floor"),
+            "direction": decision.get("direction"),
+            "destination": decision.get("destination"),
+        }
+        call_id = _call_id(callspec)
+        item = calls_by_id.setdefault(
+            call_id,
+            {
+                "id": call_id,
+                "object_type": "HallCall",
+                "floor": decision.get("floor"),
+                "direction": decision.get("direction"),
+                "bank": decision.get("bank"),
+                "destination": decision.get("destination"),
+                "assigned": None,
+                "wait": None,
+                "missed": 0,
+                "assigned_score": None,
+                "queue_size": 0,
+                "status": "historical",
+                "assignment_history": [],
+                "reassignment_history": [],
+                "pickup_history": [],
+                "final_pickup": None,
+            },
+        )
+        previous = decision.get("current_assignment")
+        chosen = decision.get("chosen_elevator_id")
+        assignment = {
+            "sim_time": decision.get("sim_time"),
+            "previous_elevator_id": previous,
+            "selected_elevator_id": chosen,
+            "queue_size": decision.get("queue_size"),
+            "reason": decision.get("reason"),
+        }
+        item["assignment_history"].append(assignment)
+        if previous and chosen and previous != chosen:
+            item["reassignment_history"].append(assignment)
+        if chosen:
+            item["assigned"] = chosen
+        if decision.get("queue_size") is not None:
+            item["queue_size"] = decision.get("queue_size")
+
+    passengers = {item["passenger_id"]: item for item in _passenger_objects(simulation)}
+    destination_mode = simulation.config.control_mode == "destination"
+    for event in simulation.ledger.events:
+        if event.kind != "board" or event.passenger_id is None:
+            continue
+        passenger = passengers.get(event.passenger_id)
+        if passenger is None:
+            continue
+        origin = passenger.get("origin")
+        destination = passenger.get("destination")
+        if not isinstance(origin, int) or not isinstance(destination, int):
+            continue
+        direction = 1 if destination > origin else -1
+        non_lobby_floor = destination if origin == 1 else origin
+        bank = "low" if non_lobby_floor <= simulation.config.low_zone_max else "high"
+        call_id = _call_id(
+            {
+                "bank": bank,
+                "floor": origin,
+                "direction": direction,
+                "destination": destination if destination_mode else None,
+            }
+        )
+        item = calls_by_id.get(call_id)
+        if item is None:
+            continue
+        pickup = {
+            "sim_time": event.sim_time,
+            "passenger_id": event.passenger_id,
+            "elevator_id": event.elevator_id,
+        }
+        item["pickup_history"].append(pickup)
+        item["final_pickup"] = pickup
+        if item["status"] != "active":
+            item["status"] = "served"
+    return sorted(
+        calls_by_id.values(),
+        key=lambda item: float(item["assignment_history"][-1]["sim_time"] if item["assignment_history"] else 0),
+        reverse=True,
+    )
+
+
+def _decision_objects(simulation: ElevatorSimulation) -> list[dict[str, Any]]:
+    decisions: list[dict[str, Any]] = []
+    for index, decision in enumerate(simulation.decision_history, start=1):
+        item = dict(decision)
+        item["id"] = f"D-{index}"
+        item["object_type"] = "DispatchDecision"
+        item["policy"] = simulation.policy_name
+        item["timestamp"] = item.get("sim_time")
+        callspec = {
+            "bank": item.get("bank"),
+            "floor": item.get("floor"),
+            "direction": item.get("direction"),
+            "destination": item.get("destination"),
+        }
+        item["hall_call_id"] = _call_id(callspec)
+        decisions.append(item)
+    return list(reversed(decisions))
+
+
+def build_objects(
+    simulation: ElevatorSimulation,
+    run_id: str,
+    object_type: str | None = None,
+) -> dict[str, Any]:
+    """Project simulator/evidence state into browseable workbench objects."""
+
+    snapshot = simulation.snapshot()
+    m3 = _load(M3_BASELINE) if M3_BASELINE.is_file() else {"scenarios": {}}
+    m5 = _load(M5_EVALUATION) if M5_EVALUATION.is_file() else {}
+    model = _load(M5_MODEL) if M5_MODEL.is_file() else {}
+    collections: dict[str, list[dict[str, Any]]] = {
+        "Elevator": [
+            {"id": item["id"], "object_type": "Elevator", **item}
+            for item in snapshot["elevators"]
+        ],
+        "Passenger": _passenger_objects(simulation),
+        "HallCall": _hall_call_objects(simulation),
+        "DispatchDecision": _decision_objects(simulation),
+        "SimulationRun": [
+            {
+                "id": run_id,
+                "object_type": "SimulationRun",
+                **build_run_artifact(simulation, run_id),
+            }
+        ],
+        "Scenario": [
+            {"id": f"scenario:{name}", "object_type": "Scenario", "name": name}
+            for name in SCENARIOS
+        ],
+        "Policy": [
+            {"id": f"policy:{name}", "object_type": "Policy", "name": name}
+            for name in POLICIES
+        ],
+        "Experiment": [
+            {
+                "id": f"experiment:m3:{name}",
+                "object_type": "Experiment",
+                "scenario": name,
+                "source": "evidence/m3-regression-baseline.json",
+                "policies": list(payload.get("policies", {})),
+            }
+            for name, payload in m3.get("scenarios", {}).items()
+        ],
+        "Model": [
+            {
+                "id": "model:m5-ddqn-baseline",
+                "object_type": "Model",
+                "schema": model.get("schema"),
+                "architecture": model.get("architecture"),
+                "observation_size": model.get("observation_size"),
+                "actions": model.get("actions", []),
+                "metadata": model.get("metadata", {}),
+                "held_out_verdict": m5.get("verdict", {}),
+            }
+        ] if model else [],
+        "Evidence": [
+            {
+                "id": f"evidence:{path.name}",
+                "object_type": "Evidence",
+                "source": str(path.relative_to(ROOT)),
+                "schema": _load(path).get("schema"),
+            }
+            for path in (M3_BASELINE, M5_EVALUATION, M6_EVALUATION)
+            if path.is_file()
+        ],
+        "TheoryEvidence": [
+            {
+                "id": f"theory:{path.stem}",
+                "object_type": "TheoryEvidence",
+                "source": str(path.relative_to(ROOT)),
+                "schema": _load(path).get("schema"),
+            }
+            for path in (M7_DISCOVERY, M7_VALIDATION)
+            if path.is_file()
+        ],
+    }
+    selected = collections.get(object_type, []) if object_type else [
+        item for name in OBJECT_TYPES for item in collections.get(name, [])
+    ]
+    return {
+        "schema": "elevator-queue-lab.objects.v1",
+        "run_id": run_id,
+        "object_types": list(OBJECT_TYPES),
+        "selected_type": object_type,
+        "objects": selected,
+        "counts": {name: len(collections.get(name, [])) for name in OBJECT_TYPES},
+    }
+
+
+def build_decision_graph(simulation: ElevatorSimulation, run_id: str) -> dict[str, Any]:
+    """Build a graph projection without introducing a graph database."""
+
+    all_passengers = _passenger_objects(simulation)
+    boarded = [item for item in all_passengers if item.get("boarding") is not None][:24]
+    unboarded = [item for item in all_passengers if item.get("boarding") is None][:16]
+    passengers = boarded + unboarded
+    decisions = _decision_objects(simulation)[:40]
+    decision_call_ids = {str(item["hall_call_id"]) for item in decisions}
+    calls = [item for item in _hall_call_objects(simulation) if item["id"] in decision_call_ids]
+    snapshot = simulation.snapshot()
+    nodes: list[dict[str, Any]] = []
+    edges: list[dict[str, Any]] = []
+    seen_nodes: set[str] = set()
+
+    def add_node(node_id: str, kind: str, label: str, data: dict[str, Any]) -> None:
+        if node_id in seen_nodes:
+            return
+        seen_nodes.add(node_id)
+        nodes.append({"id": node_id, "type": kind, "label": label, "data": data})
+
+    def add_edge(source: str, target: str, relation: str, evidence: str) -> None:
+        if source in seen_nodes and target in seen_nodes:
+            edges.append(
+                {
+                    "id": f"{source}->{target}:{relation}",
+                    "source": source,
+                    "target": target,
+                    "relation": relation,
+                    "evidence": evidence,
+                }
+            )
+
+    for elevator in snapshot["elevators"]:
+        add_node(elevator["id"], "Elevator", elevator["id"], elevator)
+    for call in calls:
+        add_node(call["id"], "HallCall", f"{call['floor']}F {'↑' if call['direction'] > 0 else '↓'}", call)
+    for passenger in passengers:
+        add_node(passenger["id"], "Passenger", passenger["id"], passenger)
+    for decision in decisions:
+        add_node(decision["id"], "DispatchDecision", decision["id"], decision)
+    add_node(
+        "metric:wait",
+        "WaitMetric",
+        "Run wait metrics",
+        {
+            "avg_wait": snapshot["metrics"]["avg_wait"],
+            "p95_wait": snapshot["metrics"]["p95_wait"],
+            "max_wait": snapshot["metrics"]["max_wait"],
+            "source": "snapshot.metrics",
+        },
+    )
+
+    for passenger in passengers:
+        origin = passenger.get("origin")
+        destination = passenger.get("destination")
+        if isinstance(origin, int) and isinstance(destination, int):
+            expected_direction = 1 if destination > origin else -1
+            non_lobby_floor = destination if origin == 1 else origin
+            bank = "low" if non_lobby_floor <= simulation.config.low_zone_max else "high"
+            passenger_call_id = _call_id(
+                {
+                    "bank": bank,
+                    "floor": origin,
+                    "direction": expected_direction,
+                    "destination": destination if simulation.config.control_mode == "destination" else None,
+                }
+            )
+            add_edge(passenger["id"], passenger_call_id, "generated", "passenger arrival ledger")
+        elevator_id = passenger.get("elevator_id")
+        if isinstance(elevator_id, str):
+            add_edge(passenger["id"], elevator_id, "boarded", "event ledger board")
+            pickup_id = f"pickup:{passenger['id']}"
+            add_node(
+                pickup_id,
+                "Pickup",
+                f"Pickup {passenger['id']}",
+                {
+                    "passenger_id": passenger.get("passenger_id"),
+                    "elevator_id": elevator_id,
+                    "boarding": passenger.get("boarding"),
+                    "wait": passenger.get("wait"),
+                    "origin": passenger.get("origin"),
+                },
+            )
+            add_edge(elevator_id, pickup_id, "produced", "event ledger board")
+            add_edge(pickup_id, "metric:wait", "contributed_to", "passenger wait sample")
+    for decision in decisions:
+        hall_call_id = str(decision["hall_call_id"])
+        add_edge(hall_call_id, decision["id"], "evaluated_by", "dispatch decision ledger")
+        chosen = decision.get("chosen_elevator_id")
+        if isinstance(chosen, str):
+            add_edge(decision["id"], chosen, "selected", str(decision.get("reason", "")))
+        previous = decision.get("current_assignment")
+        if isinstance(previous, str) and previous != chosen:
+            add_edge(decision["id"], previous, "previous_assignment", "dispatch decision ledger")
+
+    return {
+        "schema": "elevator-queue-lab.decision-graph.v1",
+        "run_id": run_id,
+        "nodes": nodes,
+        "edges": edges,
+        "provenance": {
+            "source": "simulator snapshot + decision ledger + event ledger",
+            "database": None,
+            "projection": "read_only",
+        },
+    }
+
+
+def _compare_with_collective(simulation: ElevatorSimulation) -> tuple[str, list[dict[str, Any]]]:
+    if not M3_BASELINE.is_file():
+        return "Committed M3 evidence is unavailable.", []
+    baseline = _load(M3_BASELINE)
+    scenario = baseline.get("scenarios", {}).get(simulation.scenario)
+    if not scenario:
+        return f"No committed M3 scenario named {simulation.scenario} is available.", []
+    policies = scenario.get("policies", {})
+    current = policies.get(simulation.policy_name)
+    collective = policies.get("collective")
+    if current is None or collective is None:
+        return "This live policy is not present in the committed M3 comparison artifact.", []
+    delta = float(current["avg_wait"]) - float(collective["avg_wait"])
+    direction = "lower" if delta < 0 else "higher"
+    answer = (
+        f"In committed 30-seed M3 evidence for {simulation.scenario}, {simulation.policy_name} "
+        f"has mean AWT {current['avg_wait']:.2f}s versus collective {collective['avg_wait']:.2f}s "
+        f"({abs(delta):.2f}s {direction}). Guardrail classification: "
+        f"{current.get('guardrail_classification', 'unknown')}."
+    )
+    return answer, [
+        {"source": "evidence/m3-regression-baseline.json", "policy": simulation.policy_name, "data": current},
+        {"source": "evidence/m3-regression-baseline.json", "policy": "collective", "data": collective},
+    ]
+
+
+def answer_run_question(simulation: ElevatorSimulation, run_id: str, question: str) -> dict[str, Any]:
+    """Answer a constrained question from deterministic run evidence only."""
+
+    normalized = question.strip()
+    lowered = normalized.lower()
+    evidence: list[dict[str, Any]] = []
+    limitations = [
+        "Explanations report observed simulator evidence and controller reasons; they do not infer unrecorded causal mechanisms.",
+        "Committed statistical comparisons describe synthetic scenarios, not a universal elevator-control theorem.",
+    ]
+    intent = "run_summary"
+    answer = (
+        f"Run {run_id} is at simulation time {int(simulation.sim_time)}s with policy "
+        f"{simulation.policy_name} in the {simulation.scenario} scenario."
+    )
+
+    passenger_match = re.search(r"p[- ]?(\d+)", lowered)
+    decision_match = re.search(r"d[- ]?(\d+)", lowered)
+    if passenger_match:
+        intent = "passenger_explanation"
+        passenger_id = int(passenger_match.group(1))
+        passenger = next(
+            (item for item in _passenger_objects(simulation) if item["passenger_id"] == passenger_id),
+            None,
+        )
+        passenger_events = [
+            event.to_dict()
+            for event in simulation.ledger.events
+            if event.passenger_id == passenger_id
+        ]
+        if passenger is None:
+            answer = f"Passenger P-{passenger_id} is not present in the current run ledger."
+        else:
+            wait = passenger.get("wait")
+            wait_text = f" waited {wait:.2f}s" if isinstance(wait, (int, float)) else " has not boarded yet"
+            answer = (
+                f"Passenger P-{passenger_id}{wait_text}. The recorded lifecycle is "
+                f"{passenger['status']} from {passenger['origin']}F to {passenger['destination']}F"
+                + (f" on {passenger['elevator_id']}." if passenger.get("elevator_id") else ".")
+            )
+            evidence.append({"source": "event_ledger", "passenger": passenger, "events": passenger_events})
+    elif decision_match:
+        intent = "decision_explanation"
+        decision_id = f"D-{int(decision_match.group(1))}"
+        decision = next((item for item in _decision_objects(simulation) if item["id"] == decision_id), None)
+        if decision is None:
+            answer = f"Decision {decision_id} is not present in the retained decision ledger."
+        else:
+            answer = str(decision.get("reason", "No controller reason was recorded."))
+            evidence.append({"source": "decision_ledger", "decision": decision})
+    elif "compare" in lowered and "collective" in lowered:
+        intent = "policy_comparison"
+        answer, evidence = _compare_with_collective(simulation)
+    elif "reassign" in lowered:
+        intent = "reassignment_explanation"
+        event = next(
+            (event for event in reversed(simulation.ledger.events) if event.kind in {"assignment_invalidated", "reassign"}),
+            None,
+        )
+        if event is None:
+            answer = "No reassignment event has been recorded in the current run yet."
+        else:
+            answer = (
+                f"The latest reassignment-related event occurred at {event.sim_time:.2f}s on "
+                f"{event.floor}F. Recorded details: {json.dumps(event.details, sort_keys=True)}"
+            )
+            evidence.append({"source": "event_ledger", "event": event.to_dict()})
+    elif "why" in lowered or "choose" in lowered or "selected" in lowered:
+        intent = "latest_dispatch_explanation"
+        decision = _decision_objects(simulation)[0] if simulation.decision_history else None
+        if decision is None:
+            answer = "No dispatch decision has been recorded in the current run yet."
+        else:
+            answer = str(decision.get("reason", "No controller reason was recorded."))
+            evidence.append({"source": "decision_ledger", "decision": decision})
+    elif "p95" in lowered or "spike" in lowered:
+        intent = "tail_metric_explanation"
+        metrics = simulation.snapshot()["metrics"]
+        answer = (
+            f"Current P95 wait is {metrics['p95_wait']:.2f}s with {metrics['current_queue']} passengers waiting. "
+            "The run ledger can show coincident capacity misses/reassignments, but this interface does not assign a causal driver without recorded evidence."
+        )
+        evidence.append({"source": "snapshot.metrics", "metrics": metrics})
+
+    return {
+        "schema": "elevator-queue-lab.ask-run.v1",
+        "run_id": run_id,
+        "question": normalized,
+        "intent": intent,
+        "answer": answer,
+        "evidence": evidence,
+        "limitations": limitations,
+        "expression_layer": "deterministic",
+        "llm_required": False,
+    }
+
+
+def build_models_payload() -> dict[str, Any]:
+    model = _load(M5_MODEL)
+    evaluation = _load(M5_EVALUATION)
+    return {
+        "schema": "elevator-queue-lab.models-ui.v1",
+        "model": model,
+        "evaluation": evaluation,
+        "source": {
+            "model": "models/m5-ddqn-baseline.json",
+            "evaluation": "evidence/m5-heldout-evaluation.json",
+        },
+    }
+
+
+def build_artifacts_payload(simulation: ElevatorSimulation, run_id: str) -> dict[str, Any]:
+    return build_artifact_catalog(simulation, run_id)
diff --git a/contracts/schemas/passenger-trace.schema.json b/contracts/schemas/passenger-trace.schema.json
new file mode 100644
index 0000000..f3b23b3
--- /dev/null
+++ b/contracts/schemas/passenger-trace.schema.json
@@ -0,0 +1,28 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://elevator.oosu.dev/contracts/passenger-trace.schema.json",
+  "title": "PassengerTraceArtifact",
+  "type": "object",
+  "additionalProperties": false,
+  "required": ["schema", "scenario", "seed", "duration_seconds", "events"],
+  "properties": {
+    "schema": { "const": "elevator-queue-lab.passenger-trace.v1" },
+    "scenario": { "type": "string", "minLength": 1 },
+    "seed": { "type": "integer" },
+    "duration_seconds": { "type": "integer", "minimum": 1 },
+    "events": {
+      "type": "array",
+      "items": {
+        "type": "object",
+        "additionalProperties": false,
+        "required": ["at", "passenger_id", "origin", "destination"],
+        "properties": {
+          "at": { "type": "integer", "minimum": 1 },
+          "passenger_id": { "type": "integer", "minimum": 1 },
+          "origin": { "type": "integer", "minimum": 1, "maximum": 18 },
+          "destination": { "type": "integer", "minimum": 1, "maximum": 18 }
+        }
+      }
+    }
+  }
+}
diff --git a/contracts/schemas/run-artifact.schema.json b/contracts/schemas/run-artifact.schema.json
new file mode 100644
index 0000000..92b979d
--- /dev/null
+++ b/contracts/schemas/run-artifact.schema.json
@@ -0,0 +1,36 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://elevator.oosu.dev/contracts/run-artifact.schema.json",
+  "title": "SimulationRunArtifact",
+  "type": "object",
+  "required": [
+    "schema_version",
+    "artifact_version",
+    "simulator_version",
+    "run_id",
+    "scenario",
+    "policy",
+    "seed",
+    "sim_time",
+    "trace_sha256",
+    "metrics",
+    "provenance",
+    "trace_manifest",
+    "created_at"
+  ],
+  "properties": {
+    "schema_version": { "const": "elevator-queue-lab.run.v1" },
+    "artifact_version": { "type": "string" },
+    "simulator_version": { "type": "string" },
+    "run_id": { "type": "string", "minLength": 1 },
+    "scenario": { "type": "string" },
+    "policy": { "type": "string" },
+    "seed": { "type": "integer" },
+    "sim_time": { "type": "number", "minimum": 0 },
+    "trace_sha256": { "type": ["string", "null"] },
+    "metrics": { "type": "object" },
+    "provenance": { "type": "object" },
+    "trace_manifest": { "$ref": "trace-manifest.schema.json" },
+    "created_at": { "type": "string" }
+  }
+}
diff --git a/scripts/generate_trace.py b/scripts/generate_trace.py
index 798fd76..ebdbf35 100644
--- a/scripts/generate_trace.py
+++ b/scripts/generate_trace.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import argparse
+import json
 import sys
 from pathlib import Path
 
@@ -8,7 +9,9 @@
 if str(ROOT) not in sys.path:
     sys.path.insert(0, str(ROOT))
 
-from app.trace import generate_trace
+from app.artifacts import build_passenger_trace_manifest
+from app.domain import SimulationConfig
+from app.trace import TRACE_SCHEMA, generate_trace
 
 
 def main() -> None:
@@ -17,11 +20,45 @@ def main() -> None:
     parser.add_argument("--seconds", required=True, type=int)
     parser.add_argument("--seed", required=True, type=int)
     parser.add_argument("--output", required=True, type=Path)
+    parser.add_argument(
+        "--package-dir",
+        type=Path,
+        help="optional directory for trace.json + manifest.json + schema.json + validation.json",
+    )
     args = parser.parse_args()
 
     trace = generate_trace(args.scenario, args.seconds, args.seed)
     args.output.parent.mkdir(parents=True, exist_ok=True)
     args.output.write_text(trace.to_json() + "\n", encoding="utf-8", newline="\n")
+    if args.package_dir is not None:
+        args.package_dir.mkdir(parents=True, exist_ok=True)
+        trace_path = args.package_dir / "trace.json"
+        trace_path.write_text(trace.to_json() + "\n", encoding="utf-8", newline="\n")
+        manifest = build_passenger_trace_manifest(trace, SimulationConfig())
+        (args.package_dir / "manifest.json").write_text(
+            json.dumps(manifest, indent=2, sort_keys=True) + "\n",
+            encoding="utf-8",
+            newline="\n",
+        )
+        schema_source = ROOT / "contracts" / "schemas" / "passenger-trace.schema.json"
+        (args.package_dir / "schema.json").write_text(
+            schema_source.read_text(encoding="utf-8"),
+            encoding="utf-8",
+            newline="\n",
+        )
+        validation = {
+            "schema": "elevator-queue-lab.trace-validation.v1",
+            "valid": True,
+            "trace_schema": TRACE_SCHEMA,
+            "event_count": len(trace.events),
+            "sha256": trace.digest,
+            "manifest_sha256_matches": manifest["sha256"] == trace.digest,
+        }
+        (args.package_dir / "validation.json").write_text(
+            json.dumps(validation, indent=2, sort_keys=True) + "\n",
+            encoding="utf-8",
+            newline="\n",
+        )
     print(f"events={len(trace.events)} sha256={trace.digest} output={args.output}")
 
 
diff --git a/scripts/validate_artifacts.py b/scripts/validate_artifacts.py
new file mode 100644
index 0000000..1253852
--- /dev/null
+++ b/scripts/validate_artifacts.py
@@ -0,0 +1,104 @@
+from __future__ import annotations
+
+import hashlib
+import json
+import sys
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1]
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
+from app.artifacts import build_artifact_catalog, build_run_artifact, build_trace_manifest
+from app.simulator import ElevatorSimulation
+from app.trace import generate_trace
+
+
+def require(condition: bool, message: str) -> None:
+    if not condition:
+        raise SystemExit(f"artifact validation failed: {message}")
+
+
+def validate_required(payload: dict[str, object], schema_path: Path) -> None:
+    schema = json.loads(schema_path.read_text(encoding="utf-8"))
+    require(schema.get("type") == "object", f"schema must describe an object: {schema_path}")
+    for key in schema.get("required", []):
+        require(key in payload, f"{schema_path.name} required key missing: {key}")
+
+
+def main() -> None:
+    expected = {
+        "evidence/m3-regression-baseline.json": "elevator-queue-lab.m3-regression-baseline.v2",
+        "evidence/m5-heldout-evaluation.json": "elevator-queue-lab.m5-research-evidence.v1",
+        "evidence/m6-heldout-30seed.json": "elevator-queue-lab.m6-heldout-release.v1",
+        "evidence/m7-bidirectional-load-sweep.json": "elevator-queue-lab.m7-bidirectional-load-theory.v1",
+        "evidence/m7-threshold-validation.json": "elevator-queue-lab.m7-threshold-validation.v1",
+        "models/m5-ddqn-baseline.json": "elevator-queue-lab.m5-ddqn.v1",
+    }
+    for relative, schema in expected.items():
+        path = ROOT / relative
+        require(path.is_file(), f"missing {relative}")
+        payload = json.loads(path.read_text(encoding="utf-8"))
+        require(payload.get("schema") == schema, f"unexpected schema for {relative}: {payload.get('schema')}")
+        require(len(hashlib.sha256(path.read_bytes()).hexdigest()) == 64, f"invalid sha256 for {relative}")
+
+    trace_a = generate_trace("lunch", duration_seconds=180, seed=42)
+    trace_b = generate_trace("lunch", duration_seconds=180, seed=42)
+    require(trace_a.digest == trace_b.digest, "same seed did not reproduce passenger trace digest")
+    simulation = ElevatorSimulation("lunch", "capr", seed=42, trace=trace_a)
+    simulation.step(60)
+    manifest = build_trace_manifest(simulation)
+    artifact = build_run_artifact(simulation, "run-validation")
+    catalog = build_artifact_catalog(simulation, "run-validation")
+    validate_required(
+        trace_a.to_payload(),
+        ROOT / "contracts" / "schemas" / "passenger-trace.schema.json",
+    )
+    validate_required(
+        manifest,
+        ROOT / "contracts" / "schemas" / "trace-manifest.schema.json",
+    )
+    validate_required(
+        artifact,
+        ROOT / "contracts" / "schemas" / "run-artifact.schema.json",
+    )
+    require(manifest["sha256"] == trace_a.digest, "manifest does not retain trace SHA identity")
+    require(artifact["trace_sha256"] == trace_a.digest, "run artifact does not retain trace SHA identity")
+    require(artifact["schema_version"] == "elevator-queue-lab.run.v1", "run schema version changed")
+    require(artifact["provenance"]["seed"] == 42, "run provenance seed missing")
+    required_artifact_types = {
+        "PassengerTraceArtifact",
+        "SimulationRunArtifact",
+        "DispatchDecisionArtifact",
+        "ExperimentArtifact",
+        "PolicyEvaluationArtifact",
+        "ModelArtifact",
+        "TheoryEvidenceArtifact",
+    }
+    artifact_types = {item["artifact_type"] for item in catalog["artifacts"]}
+    require(required_artifact_types.issubset(artifact_types), "artifact catalog is missing required artifact types")
+    required_provenance = {
+        "schema_version",
+        "artifact_version",
+        "simulator_version",
+        "source",
+        "seed",
+        "scenario",
+        "policy",
+        "config",
+        "created_at",
+        "trace_sha256",
+        "evidence_source",
+    }
+    for item in catalog["artifacts"]:
+        require(
+            required_provenance.issubset(item["provenance"]),
+            f"artifact provenance incomplete: {item['artifact_type']}",
+        )
+    print("artifact validation passed")
+    print(f"committed_artifacts={len(expected)}")
+    print(f"trace_sha256={trace_a.digest}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tests/test_server.py b/tests/test_server.py
index 68ae772..5c5e74c 100644
--- a/tests/test_server.py
+++ b/tests/test_server.py
@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import re
 import threading
 import unittest
 import urllib.request
@@ -9,6 +10,24 @@
 
 
 class ServerRunnerTests(unittest.TestCase):
+    def test_reset_paused_starts_from_a_deterministic_zero_second_frame(self) -> None:
+        snapshot = self.runner.control(
+            {
+                "action": "reset_paused",
+                "scenario": "lunch",
+                "policy": "capr",
+                "speed": 120,
+            }
+        )
+        self.assertFalse(snapshot["running"])
+        self.assertEqual(snapshot["sim_time"], 0)
+        self.assertEqual(snapshot["replay_frames"], 1)
+
+        stepped = self.runner.control({"action": "step"})
+        self.assertFalse(stepped["running"])
+        self.assertEqual(stepped["sim_time"], 1)
+        self.assertEqual(stepped["replay_frames"], 2)
+
     def setUp(self) -> None:
         self.runner = SimulationRunner()
         self.runner.running = False
@@ -92,7 +111,12 @@ def test_static_assets_disable_intermediary_caching(self) -> None:
         thread.start()
         try:
             base_url = f"http://127.0.0.1:{server.server_port}"
-            for path in ("/", "/app.js", "/styles.css"):
+            with urllib.request.urlopen(base_url + "/") as response:
+                self.assertEqual("no-store", response.headers.get("Cache-Control"))
+                html = response.read().decode("utf-8")
+            built_assets = re.findall(r'(?:src|href)="(/assets/[^"]+)"', html)
+            self.assertGreaterEqual(len(built_assets), 2)
+            for path in built_assets:
                 with urllib.request.urlopen(base_url + path) as response:
                     self.assertEqual("no-store", response.headers.get("Cache-Control"))
         finally:
diff --git a/tests/test_workbench.py b/tests/test_workbench.py
new file mode 100644
index 0000000..b766af6
--- /dev/null
+++ b/tests/test_workbench.py
@@ -0,0 +1,117 @@
+from __future__ import annotations
+
+import unittest
+
+from app.artifacts import build_artifact_catalog, build_run_artifact, build_trace_manifest
+from app.simulator import ElevatorSimulation
+from app.workbench import answer_run_question, build_decision_graph, build_objects, build_models_payload
+
+
+class WorkbenchContractTests(unittest.TestCase):
+    def setUp(self) -> None:
+        self.simulation = ElevatorSimulation("evening", "capr", seed=42)
+        self.simulation.step(180)
+        self.run_id = "run-test-contract"
+
+    def test_run_artifact_preserves_seed_config_and_trace_identity(self) -> None:
+        manifest = build_trace_manifest(self.simulation)
+        artifact = build_run_artifact(self.simulation, self.run_id)
+
+        self.assertEqual(artifact["schema_version"], "elevator-queue-lab.run.v1")
+        self.assertEqual(artifact["run_id"], self.run_id)
+        self.assertEqual(artifact["seed"], 42)
+        self.assertEqual(artifact["scenario"], "evening")
+        self.assertEqual(artifact["policy"], "capr")
+        self.assertEqual(artifact["provenance"]["trace_identity_sha256"], manifest["identity_sha256"])
+        self.assertEqual(manifest["building_configuration"]["floors"], 18)
+        self.assertEqual(manifest["building_configuration"]["elevators_per_bank"], 3)
+
+    def test_object_projection_exposes_required_research_objects(self) -> None:
+        payload = build_objects(self.simulation, self.run_id)
+
+        for object_type in (
+            "Elevator",
+            "Passenger",
+            "HallCall",
+            "DispatchDecision",
+            "SimulationRun",
+            "Scenario",
+            "Policy",
+            "Experiment",
+            "Model",
+            "Evidence",
+            "TheoryEvidence",
+        ):
+            self.assertIn(object_type, payload["object_types"])
+            self.assertIn(object_type, payload["counts"])
+        self.assertEqual(payload["counts"]["Elevator"], 6)
+        self.assertGreater(payload["counts"]["Passenger"], 0)
+        self.assertGreater(payload["counts"]["DispatchDecision"], 0)
+
+    def test_decision_graph_is_a_read_only_projection_with_valid_edges(self) -> None:
+        graph = build_decision_graph(self.simulation, self.run_id)
+        node_ids = {node["id"] for node in graph["nodes"]}
+        node_types = {node["type"] for node in graph["nodes"]}
+        relations = {edge["relation"] for edge in graph["edges"]}
+
+        self.assertEqual(graph["provenance"]["database"], None)
+        self.assertEqual(graph["provenance"]["projection"], "read_only")
+        self.assertGreater(len(node_ids), 6)
+        self.assertTrue({"HallCall", "DispatchDecision", "Elevator", "Pickup", "WaitMetric"}.issubset(node_types))
+        self.assertTrue({"evaluated_by", "selected", "produced", "contributed_to"}.issubset(relations))
+        for edge in graph["edges"]:
+            self.assertIn(edge["source"], node_ids)
+            self.assertIn(edge["target"], node_ids)
+
+    def test_ask_run_uses_deterministic_evidence_without_llm(self) -> None:
+        comparison = answer_run_question(
+            self.simulation,
+            self.run_id,
+            "Compare this run with collective",
+        )
+        decision = answer_run_question(
+            self.simulation,
+            self.run_id,
+            "Why did CAPR choose this elevator?",
+        )
+
+        self.assertEqual(comparison["intent"], "policy_comparison")
+        self.assertFalse(comparison["llm_required"])
+        self.assertEqual(comparison["expression_layer"], "deterministic")
+        self.assertTrue(comparison["evidence"])
+        self.assertEqual(decision["intent"], "latest_dispatch_explanation")
+        self.assertTrue(decision["evidence"])
+
+    def test_artifact_catalog_and_model_payload_point_to_committed_sources(self) -> None:
+        catalog = build_artifact_catalog(self.simulation, self.run_id)
+        models = build_models_payload()
+
+        artifact_types = {artifact["artifact_type"] for artifact in catalog["artifacts"]}
+        self.assertIn("SimulationRunArtifact", artifact_types)
+        self.assertIn("PassengerTraceArtifact", artifact_types)
+        self.assertIn("DispatchDecisionArtifact", artifact_types)
+        self.assertIn("ExperimentArtifact", artifact_types)
+        self.assertIn("PolicyEvaluationArtifact", artifact_types)
+        self.assertIn("ModelArtifact", artifact_types)
+        self.assertIn("TheoryEvidenceArtifact", artifact_types)
+        required_provenance = {
+            "schema_version",
+            "artifact_version",
+            "simulator_version",
+            "source",
+            "seed",
+            "scenario",
+            "policy",
+            "config",
+            "created_at",
+            "trace_sha256",
+            "evidence_source",
+        }
+        for artifact in catalog["artifacts"]:
+            self.assertTrue(required_provenance.issubset(artifact["provenance"]))
+        self.assertEqual(models["source"]["model"], "models/m5-ddqn-baseline.json")
+        self.assertIn("verdict", models["evaluation"])
+
+
+if __name__ == "__main__":
+    unittest.main()

From b6db95167697b7eb3d124a75300dcda8c97687bd Mon Sep 17 00:00:00 2001
From: Gabriel Jang <gabrieljang@Gabriels-MacBook-Air.local>
Date: Sun, 23 Aug 2026 21:32:56 +0900
Subject: [PATCH 2/7] feat(frontend): migrate dashboard to typed React
 workbench

---
 .gitignore                                    |    3 +
 frontend/index.html                           |   16 +
 frontend/package-lock.json                    | 3297 +++++++++++++++++
 frontend/package.json                         |   30 +
 frontend/src/App.tsx                          |  206 +
 frontend/src/api/client.ts                    |   52 +
 .../src/components/charts/ChartRenderer.tsx   |  286 ++
 frontend/src/components/common/DataPill.tsx   |   17 +
 frontend/src/components/common/MetricCard.tsx |   17 +
 .../src/components/common/WorkbenchState.tsx  |   17 +
 frontend/src/components/shell/Inspector.tsx   |   21 +
 .../components/shell/ProductShell.test.tsx    |   28 +
 .../src/components/shell/ProductShell.tsx     |  109 +
 frontend/src/contracts/api.ts                 |  270 ++
 frontend/src/contracts/chartSpec.test.ts      |   36 +
 frontend/src/contracts/chartSpec.ts           |   80 +
 .../features/dispatch/DispatchWorkbench.tsx   |   21 +
 .../experiments/ExperimentsWorkbench.tsx      |  143 +
 .../features/explorer/DecisionTraceGraph.tsx  |   84 +
 .../features/explorer/ExplorerWorkbench.tsx   |  123 +
 .../live-operations/DecisionInspector.tsx     |   41 +
 .../live-operations/DigitalTwin.test.tsx      |  100 +
 .../features/live-operations/DigitalTwin.tsx  |  102 +
 .../features/live-operations/LiveControls.tsx |   59 +
 .../live-operations/LiveOperations.tsx        |  147 +
 .../src/features/models/ModelsWorkbench.tsx   |   50 +
 frontend/src/features/runs/RunsWorkbench.tsx  |   25 +
 .../src/features/theory/TheoryWorkbench.tsx   |   85 +
 frontend/src/main.tsx                         |   13 +
 frontend/src/styles/app.css                   |  167 +
 frontend/src/styles/tokens.css                |   40 +
 frontend/src/test/setup.ts                    |    1 +
 frontend/tsconfig.app.json                    |   21 +
 frontend/tsconfig.json                        |    7 +
 frontend/tsconfig.node.json                   |   11 +
 frontend/vite.config.ts                       |   16 +
 package.json                                  |    8 +-
 web/app.js                                    |  802 ----
 web/assets/index-DA7_P41y.js                  |   78 +
 web/assets/index-DtVes-z8.css                 |    1 +
 web/index.html                                |  350 +-
 web/queue-trend.js                            |  100 -
 web/styles.css                                |  466 ---
 43 files changed, 5835 insertions(+), 1711 deletions(-)
 create mode 100644 frontend/index.html
 create mode 100644 frontend/package-lock.json
 create mode 100644 frontend/package.json
 create mode 100644 frontend/src/App.tsx
 create mode 100644 frontend/src/api/client.ts
 create mode 100644 frontend/src/components/charts/ChartRenderer.tsx
 create mode 100644 frontend/src/components/common/DataPill.tsx
 create mode 100644 frontend/src/components/common/MetricCard.tsx
 create mode 100644 frontend/src/components/common/WorkbenchState.tsx
 create mode 100644 frontend/src/components/shell/Inspector.tsx
 create mode 100644 frontend/src/components/shell/ProductShell.test.tsx
 create mode 100644 frontend/src/components/shell/ProductShell.tsx
 create mode 100644 frontend/src/contracts/api.ts
 create mode 100644 frontend/src/contracts/chartSpec.test.ts
 create mode 100644 frontend/src/contracts/chartSpec.ts
 create mode 100644 frontend/src/features/dispatch/DispatchWorkbench.tsx
 create mode 100644 frontend/src/features/experiments/ExperimentsWorkbench.tsx
 create mode 100644 frontend/src/features/explorer/DecisionTraceGraph.tsx
 create mode 100644 frontend/src/features/explorer/ExplorerWorkbench.tsx
 create mode 100644 frontend/src/features/live-operations/DecisionInspector.tsx
 create mode 100644 frontend/src/features/live-operations/DigitalTwin.test.tsx
 create mode 100644 frontend/src/features/live-operations/DigitalTwin.tsx
 create mode 100644 frontend/src/features/live-operations/LiveControls.tsx
 create mode 100644 frontend/src/features/live-operations/LiveOperations.tsx
 create mode 100644 frontend/src/features/models/ModelsWorkbench.tsx
 create mode 100644 frontend/src/features/runs/RunsWorkbench.tsx
 create mode 100644 frontend/src/features/theory/TheoryWorkbench.tsx
 create mode 100644 frontend/src/main.tsx
 create mode 100644 frontend/src/styles/app.css
 create mode 100644 frontend/src/styles/tokens.css
 create mode 100644 frontend/src/test/setup.ts
 create mode 100644 frontend/tsconfig.app.json
 create mode 100644 frontend/tsconfig.json
 create mode 100644 frontend/tsconfig.node.json
 create mode 100644 frontend/vite.config.ts
 delete mode 100644 web/app.js
 create mode 100644 web/assets/index-DA7_P41y.js
 create mode 100644 web/assets/index-DtVes-z8.css
 delete mode 100644 web/queue-trend.js
 delete mode 100644 web/styles.css

diff --git a/.gitignore b/.gitignore
index bed71b1..ba6402d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -11,6 +11,9 @@ coverage/
 .DS_Store
 Thumbs.db
 *.log
+*.tsbuildinfo
 experiment-*.json
 trace-*.json
+frontend/vite.config.js
+frontend/vite.config.d.ts
 
diff --git a/frontend/index.html b/frontend/index.html
new file mode 100644
index 0000000..2c00386
--- /dev/null
+++ b/frontend/index.html
@@ -0,0 +1,16 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <meta
+      name="description"
+      content="Reproducible decision-intelligence workbench for elevator group-control research"
+    />
+    <title>Elevator Queue Lab · Decision Intelligence Workbench</title>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.tsx"></script>
+  </body>
+</html>
diff --git a/frontend/package-lock.json b/frontend/package-lock.json
new file mode 100644
index 0000000..45ae456
--- /dev/null
+++ b/frontend/package-lock.json
@@ -0,0 +1,3297 @@
+{
+  "name": "elevator-queue-lab-workbench",
+  "version": "0.1.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "elevator-queue-lab-workbench",
+      "version": "0.1.0",
+      "dependencies": {
+        "@xyflow/react": "^12.8.5",
+        "react": "^19.1.1",
+        "react-dom": "^19.1.1",
+        "zod": "^4.1.5"
+      },
+      "devDependencies": {
+        "@testing-library/jest-dom": "^6.8.0",
+        "@testing-library/react": "^16.3.0",
+        "@types/react": "^19.1.12",
+        "@types/react-dom": "^19.1.9",
+        "@vitejs/plugin-react": "^5.0.2",
+        "jsdom": "^26.1.0",
+        "typescript": "^5.9.2",
+        "vite": "^7.1.3",
+        "vitest": "^3.2.4"
+      }
+    },
+    "node_modules/@adobe/css-tools": {
+      "version": "4.5.0",
+      "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.5.0.tgz",
+      "integrity": "sha512-6OzddxPio9UiWTCemp4N8cYLV2ZN1ncRnV1cVGtve7dhPOtRkleRyx32GQCYSwDYgaHU3USMm84tNsvKzRCa1Q==",
+      "dev": true,
+      "license": "MIT"
+    },
+    "node_modules/@asamuzakjp/css-color": {
+      "version": "3.2.0",
+      "resolved": "https://registry.npmjs.org/@asamuzakjp/css-color/-/css-color-3.2.0.tgz",
+      "integrity": "sha512-K1A6z8tS3XsmCMM86xoWdn7Fkdn9m6RSVtocUrJYIwZnFVkng/PvkEoWtOWmP+Scc6saYWHWZYbndEEXxl24jw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@csstools/css-calc": "^2.1.3",
+        "@csstools/css-color-parser": "^3.0.9",
+        "@csstools/css-parser-algorithms": "^3.0.4",
+        "@csstools/css-tokenizer": "^3.0.3",
+        "lru-cache": "^10.4.3"
+      }
+    },
+    "node_modules/@asamuzakjp/css-color/node_modules/lru-cache": {
+      "version": "10.4.3",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.4.3.tgz",
+      "integrity": "sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ==",
+      "dev": true,
+      "license": "ISC"
+    },
+    "node_modules/@babel/code-frame": {
+      "version": "7.29.7",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.29.7.tgz",
+      "integrity": "sha512-Aup7aUOfpbAUg2ROOJN6Iw5f9DMBlzu0mIkm/malLQFN/YQgO48wCj0Kxa3sEHJvPVFg7siR+qRInwXd2qhQKw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-validator-identifier": "^7.29.7",
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.1.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/compat-data": {
+      "version": "7.29.7",
+      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.29.7.tgz",
+      "integrity": "sha512-locTkQyKvwIEgBzVrn8693ebc97F2U8ZHjbXwDXJ5Fn2TCpNwTlKcaKLkdHop5c/icOFE7qt7Q9JC5hnKNa6Gg==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/core": {
+      "version": "7.29.7",
+      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.29.7.tgz",
+      "integrity": "sha512-RgHBCvtjbOK2gXSNBNIkNoEc9qoVEtau3hj8gEqKQuL3HZAibKarWFEI3Lfm6EYKkLalOh8eSrj9b+ch9H/VBA==",
+      "dev": true,
+      "license": "MIT",
+      "peer": true,
+      "dependencies": {
+        "@babel/code-frame": "^7.29.7",
+        "@babel/generator": "^7.29.7",
+        "@babel/helper-compilation-targets": "^7.29.7",
+        "@babel/helper-module-transforms": "^7.29.7",
+        "@babel/helpers": "^7.29.7",
+        "@babel/parser": "^7.29.7",
+        "@babel/template": "^7.29.7",
+        "@babel/traverse": "^7.29.7",
+        "@babel/types": "^7.29.7",
+        "@jridgewell/remapping": "^2.3.5",
+        "convert-source-map": "^2.0.0",
+        "debug": "^4.1.0",
+        "gensync": "^1.0.0-beta.2",
+        "json5": "^2.2.3",
+        "semver": "^6.3.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/babel"
+      }
+    },
+    "node_modules/@babel/generator": {
+      "version": "7.29.8",
+      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.29.8.tgz",
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+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/parser": "^7.29.8",
+        "@babel/types": "^7.29.8",
+        "@jridgewell/gen-mapping": "^0.3.12",
+        "@jridgewell/trace-mapping": "^0.3.28",
+        "jsesc": "^3.0.2"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-compilation-targets": {
+      "version": "7.29.7",
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+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/compat-data": "^7.29.7",
+        "@babel/helper-validator-option": "^7.29.7",
+        "browserslist": "^4.24.0",
+        "lru-cache": "^5.1.1",
+        "semver": "^6.3.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-globals": {
+      "version": "7.29.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-globals/-/helper-globals-7.29.7.tgz",
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+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-module-imports": {
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+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/traverse": "^7.29.7",
+        "@babel/types": "^7.29.7"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-module-transforms": {
+      "version": "7.29.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.29.7.tgz",
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+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-module-imports": "^7.29.7",
+        "@babel/helper-validator-identifier": "^7.29.7",
+        "@babel/traverse": "^7.29.7"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
+      }
+    },
+    "node_modules/@babel/helper-plugin-utils": {
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+}
diff --git a/frontend/package.json b/frontend/package.json
new file mode 100644
index 0000000..a6dff49
--- /dev/null
+++ b/frontend/package.json
@@ -0,0 +1,30 @@
+{
+  "name": "elevator-queue-lab-workbench",
+  "private": true,
+  "version": "0.1.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite --host 127.0.0.1 --port 5173",
+    "build": "tsc -b && vite build",
+    "typecheck": "tsc -b --pretty false",
+    "test": "vitest run",
+    "test:watch": "vitest"
+  },
+  "dependencies": {
+    "@xyflow/react": "^12.8.5",
+    "react": "^19.1.1",
+    "react-dom": "^19.1.1",
+    "zod": "^4.1.5"
+  },
+  "devDependencies": {
+    "@testing-library/jest-dom": "^6.8.0",
+    "@testing-library/react": "^16.3.0",
+    "@types/react": "^19.1.12",
+    "@types/react-dom": "^19.1.9",
+    "@vitejs/plugin-react": "^5.0.2",
+    "jsdom": "^26.1.0",
+    "typescript": "^5.9.2",
+    "vite": "^7.1.3",
+    "vitest": "^3.2.4"
+  }
+}
diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx
new file mode 100644
index 0000000..176a06d
--- /dev/null
+++ b/frontend/src/App.tsx
@@ -0,0 +1,206 @@
+import { useCallback, useEffect, useMemo, useState } from "react";
+import { api } from "./api/client";
+import { WorkbenchState } from "./components/common/WorkbenchState";
+import { ProductShell, type WorkbenchKey } from "./components/shell/ProductShell";
+import type {
+  ArtifactCatalogPayload,
+  DecisionGraphPayload,
+  ExperimentPayload,
+  ModelsPayload,
+  ObjectsPayload,
+  RunArtifact,
+  Snapshot,
+  TheoryPayload,
+} from "./contracts/api";
+import { DispatchWorkbench } from "./features/dispatch/DispatchWorkbench";
+import { ExperimentsWorkbench } from "./features/experiments/ExperimentsWorkbench";
+import { ExplorerWorkbench } from "./features/explorer/ExplorerWorkbench";
+import { DecisionInspector } from "./features/live-operations/DecisionInspector";
+import { LiveControls } from "./features/live-operations/LiveControls";
+import { LiveOperations } from "./features/live-operations/LiveOperations";
+import { ModelsWorkbench } from "./features/models/ModelsWorkbench";
+import { RunsWorkbench } from "./features/runs/RunsWorkbench";
+import { TheoryWorkbench } from "./features/theory/TheoryWorkbench";
+
+
+interface AppData {
+  snapshot: Snapshot;
+  experiment: ExperimentPayload;
+  theory: TheoryPayload;
+  models: ModelsPayload;
+  run: RunArtifact;
+  artifacts: ArtifactCatalogPayload;
+  objects: ObjectsPayload;
+  graph: DecisionGraphPayload;
+}
+
+const TITLES: Record<WorkbenchKey, { title: string; subtitle: string }> = {
+  live: {
+    title: "Live Operations",
+    subtitle: "Simulate and observe six-car group control with passenger-level evidence.",
+  },
+  runs: {
+    title: "Runs",
+    subtitle: "Inspect reproducible run provenance, trace identity, and versioned evidence artifacts.",
+  },
+  dispatch: {
+    title: "Dispatch Analysis",
+    subtitle: "Compare candidate ETA, residual capacity, feasibility, and controller score at decision time.",
+  },
+  experiments: {
+    title: "Experiments",
+    subtitle: "Compare policies across committed 30-seed statistical evidence without fabricated metrics.",
+  },
+  theory: {
+    title: "Counterflow Criticality",
+    subtitle: "Inspect the M7 discovery rule, frozen held-out validation, and its limitations.",
+  },
+  models: {
+    title: "Models",
+    subtitle: "Review M5 learned-controller metadata and the mixed/negative held-out result as recorded.",
+  },
+  explorer: {
+    title: "Object Explorer",
+    subtitle: "Trace passengers, hall calls, decisions, elevators, evidence, and theory through a run projection.",
+  },
+};
+
+function workbenchFromHash(): WorkbenchKey {
+  const candidate = window.location.hash.replace(/^#\/?/, "") as WorkbenchKey;
+  return candidate && candidate in TITLES ? candidate : "live";
+}
+
+async function loadRunContext(run: RunArtifact): Promise<Pick<AppData, "artifacts" | "objects" | "graph">> {
+  const [artifacts, objects, graph] = await Promise.all([
+    api.artifacts(),
+    api.objects(run.run_id),
+    api.graph(run.run_id),
+  ]);
+  return { artifacts, objects, graph };
+}
+
+export default function App() {
+  const [active, setActive] = useState<WorkbenchKey>(workbenchFromHash);
+  const [data, setData] = useState<AppData | null>(null);
+  const [error, setError] = useState<string | null>(null);
+  const [inspectorOpen, setInspectorOpen] = useState(true);
+
+  useEffect(() => {
+    let cancelled = false;
+    async function load() {
+      try {
+        const [snapshot, experiment, theory, models, runs] = await Promise.all([
+          api.snapshot(),
+          api.experiment(),
+          api.theory(),
+          api.models(),
+          api.runs(),
+        ]);
+        const run = runs.runs[0];
+        if (!run) throw new Error("No live SimulationRunArtifact was returned.");
+        const context = await loadRunContext(run);
+        if (!cancelled) setData({ snapshot, experiment, theory, models, run, ...context });
+      } catch (cause) {
+        if (!cancelled) setError(cause instanceof Error ? cause.message : String(cause));
+      }
+    }
+    void load();
+    return () => { cancelled = true; };
+  }, []);
+
+  useEffect(() => {
+    if (!data) return;
+    const timer = window.setInterval(() => {
+      void api.snapshot().then((snapshot) => setData((current) => current ? { ...current, snapshot } : current)).catch(() => undefined);
+    }, 600);
+    return () => window.clearInterval(timer);
+  }, [Boolean(data)]);
+
+  useEffect(() => {
+    if (!data || active !== "explorer") return;
+    const refresh = () => {
+      void Promise.all([api.objects(data.run.run_id), api.graph(data.run.run_id)]).then(([objects, graph]) => {
+        setData((current) => current ? { ...current, objects, graph } : current);
+      }).catch(() => undefined);
+    };
+    refresh();
+    const timer = window.setInterval(refresh, 2500);
+    return () => window.clearInterval(timer);
+  }, [active, data?.run.run_id]);
+
+  const refreshRunIdentity = useCallback(async () => {
+    const runs = await api.runs();
+    const run = runs.runs[0];
+    if (!run) throw new Error("Run identity disappeared after control update.");
+    const context = await loadRunContext(run);
+    setData((current) => current ? { ...current, run, ...context } : current);
+  }, []);
+
+  const handleControl = useCallback(async (payload: Record<string, unknown>) => {
+    if (!data) return;
+    setError(null);
+    try {
+      const snapshot = await api.control(payload);
+      setData((current) => current ? { ...current, snapshot } : current);
+      await refreshRunIdentity();
+    } catch (cause) {
+      setError(cause instanceof Error ? cause.message : String(cause));
+    }
+  }, [data, refreshRunIdentity]);
+
+  function navigate(next: WorkbenchKey) {
+    setActive(next);
+    window.location.hash = next;
+  }
+
+  if (error && !data) {
+    return <div className="boot-state"><WorkbenchState kind="error" title="Workbench failed to initialize">{error}</WorkbenchState></div>;
+  }
+  if (!data) {
+    return <div className="boot-state"><WorkbenchState kind="loading" title="Loading simulator and committed evidence" /></div>;
+  }
+
+  const copy = TITLES[active];
+  const latestDecision = data.snapshot.decision_tail.at(-1);
+  const toolbar = active === "live" ? <LiveControls snapshot={data.snapshot} onControl={handleControl} /> : undefined;
+  const inspector = active === "live" ? <DecisionInspector decision={latestDecision} /> : undefined;
+  let content: React.ReactNode;
+  if (active === "live") {
+    content = <LiveOperations liveSnapshot={data.snapshot} onControl={handleControl} onSaveReplay={api.saveReplay} />;
+  } else if (active === "runs") {
+    content = <RunsWorkbench run={data.run} artifacts={data.artifacts} />;
+  } else if (active === "dispatch") {
+    content = <DispatchWorkbench snapshot={data.snapshot} />;
+  } else if (active === "experiments") {
+    content = <ExperimentsWorkbench payload={data.experiment} />;
+  } else if (active === "theory") {
+    content = <TheoryWorkbench payload={data.theory} />;
+  } else if (active === "models") {
+    content = <ModelsWorkbench payload={data.models} />;
+  } else {
+    content = <ExplorerWorkbench runId={data.run.run_id} initialObjects={data.objects} graph={data.graph} />;
+  }
+
+  return (
+    <ProductShell
+      active={active}
+      onNavigate={navigate}
+      title={copy.title}
+      subtitle={copy.subtitle}
+      toolbar={toolbar}
+      inspector={inspector}
+      inspectorOpen={inspectorOpen}
+      onToggleInspector={() => setInspectorOpen((value) => !value)}
+      status={{
+        mode: data.snapshot.running ? "LIVE" : "PAUSED",
+        scenario: data.snapshot.scenario,
+        policy: data.snapshot.policy,
+        runId: data.run.run_id,
+        provenance: data.run.trace_sha256 ? "materialized passenger trace" : "seeded demand generator",
+      }}
+    >
+      {error ? <WorkbenchState kind="error" title="Latest action failed">{error}</WorkbenchState> : null}
+      {content}
+    </ProductShell>
+  );
+}
diff --git a/frontend/src/api/client.ts b/frontend/src/api/client.ts
new file mode 100644
index 0000000..8393b6d
--- /dev/null
+++ b/frontend/src/api/client.ts
@@ -0,0 +1,52 @@
+import type {
+  ArtifactCatalogPayload,
+  AskRunPayload,
+  DecisionGraphPayload,
+  ExperimentPayload,
+  ModelsPayload,
+  ObjectsPayload,
+  ReplayPayload,
+  RunsPayload,
+  Snapshot,
+  TheoryPayload,
+} from "../contracts/api";
+
+
+async function requestJson<T>(url: string, init?: RequestInit): Promise<T> {
+  const response = await fetch(url, { cache: "no-store", ...init });
+  if (!response.ok) {
+    const message = await response.text();
+    throw new Error(`${response.status} ${response.statusText}: ${message}`);
+  }
+  return response.json() as Promise<T>;
+}
+
+export const api = {
+  snapshot: (): Promise<Snapshot> => requestJson("/api/snapshot"),
+  experiment: (): Promise<ExperimentPayload> => requestJson("/api/experiment"),
+  theory: (): Promise<TheoryPayload> => requestJson("/api/theory"),
+  models: (): Promise<ModelsPayload> => requestJson("/api/models"),
+  artifacts: (): Promise<ArtifactCatalogPayload> => requestJson("/api/artifacts"),
+  runs: (): Promise<RunsPayload> => requestJson("/api/runs"),
+  objects: (runId: string, objectType?: string): Promise<ObjectsPayload> => {
+    const query = objectType ? `?type=${encodeURIComponent(objectType)}` : "";
+    return requestJson(`/api/runs/${encodeURIComponent(runId)}/objects${query}`);
+  },
+  graph: (runId: string): Promise<DecisionGraphPayload> =>
+    requestJson(`/api/runs/${encodeURIComponent(runId)}/graph`),
+  ask: (runId: string, question: string): Promise<AskRunPayload> =>
+    requestJson(`/api/runs/${encodeURIComponent(runId)}/ask?q=${encodeURIComponent(question)}`),
+  control: (payload: Record<string, unknown>): Promise<Snapshot> =>
+    requestJson("/api/control", {
+      method: "POST",
+      headers: { "Content-Type": "application/json" },
+      body: JSON.stringify(payload),
+    }),
+  replay: (): Promise<ReplayPayload> => requestJson("/api/replay"),
+  saveReplay: (): Promise<ReplayPayload> =>
+    requestJson("/api/replay", {
+      method: "POST",
+      headers: { "Content-Type": "application/json" },
+      body: JSON.stringify({ action: "save" }),
+    }),
+};
diff --git a/frontend/src/components/charts/ChartRenderer.tsx b/frontend/src/components/charts/ChartRenderer.tsx
new file mode 100644
index 0000000..9d6dea0
--- /dev/null
+++ b/frontend/src/components/charts/ChartRenderer.tsx
@@ -0,0 +1,286 @@
+import type { ExperimentPayload, HistoryPoint, PolicyEvidence, Snapshot } from "../../contracts/api";
+import { parseChartSpec, type ChartSpec } from "../../contracts/chartSpec";
+import { WorkbenchState } from "../common/WorkbenchState";
+
+
+interface ChartRendererProps {
+  spec: ChartSpec | unknown;
+  data: unknown;
+}
+
+interface Point {
+  x: number;
+  y: number;
+  label?: string;
+  detail?: string;
+}
+
+const POLICY_ORDER = ["legacy_sticky", "nearest_car", "collective", "queue_aware", "capr"];
+
+function clamp(value: number, min: number, max: number): number {
+  return Math.min(max, Math.max(min, value));
+}
+
+function normalize(value: number, min: number, max: number): number {
+  if (max === min) return 0.5;
+  return (value - min) / (max - min);
+}
+
+function polyline(points: Point[], width = 620, height = 220): string {
+  if (!points.length) return "";
+  const xs = points.map((point) => point.x);
+  const ys = points.map((point) => point.y);
+  const xMin = Math.min(...xs);
+  const xMax = Math.max(...xs);
+  const yMin = Math.min(...ys);
+  const yMax = Math.max(...ys);
+  return points
+    .map((point) => {
+      const x = 28 + normalize(point.x, xMin, xMax) * (width - 56);
+      const y = 18 + (1 - normalize(point.y, yMin, yMax)) * (height - 44);
+      return `${x.toFixed(1)},${y.toFixed(1)}`;
+    })
+    .join(" ");
+}
+
+function ChartFrame({ title, source, children }: { title: string; source: string; children: React.ReactNode }) {
+  return (
+    <article className="chart-frame">
+      <header>
+        <strong>{title}</strong>
+        <span>{source}</span>
+      </header>
+      <div className="chart-canvas">{children}</div>
+    </article>
+  );
+}
+
+function TimeSeriesRenderer({ spec, data }: { spec: Extract<ChartSpec, { type: "timeSeries" }>; data: unknown }) {
+  const history = Array.isArray(data) ? (data as HistoryPoint[]) : [];
+  const width = 620;
+  const height = 220;
+  if (history.length < 2) {
+    return <WorkbenchState kind="empty" title="Not enough time-series samples" />;
+  }
+  const series = spec.y.map((field) => ({
+    field,
+    points: history.map((item) => ({ x: Number(item[spec.x as keyof HistoryPoint]), y: Number(item[field as keyof HistoryPoint]) })),
+  }));
+  return (
+    <ChartFrame title={spec.title} source={spec.source}>
+      <svg id="wait-chart" className="semantic-chart" viewBox={`0 0 ${width} ${height}`} role="img" aria-label={spec.title}>
+        {[0, 1, 2, 3, 4].map((row) => (
+          <line key={row} x1="28" x2={width - 28} y1={22 + row * 42} y2={22 + row * 42} className="chart-grid" />
+        ))}
+        {series.map((entry, index) => (
+          <polyline key={entry.field} className={`chart-line chart-line-${index}`} points={polyline(entry.points, width, height)} />
+        ))}
+      </svg>
+      <div className="chart-legend">
+        {series.map((entry, index) => <span key={entry.field} className={`legend-key legend-key-${index}`}>{entry.field}</span>)}
+      </div>
+    </ChartFrame>
+  );
+}
+
+function evidenceScenario(data: unknown, scenario: string) {
+  const payload = data as ExperimentPayload | undefined;
+  return payload?.baseline?.scenarios?.[scenario]?.policies ?? {};
+}
+
+function evidenceValue(evidence: PolicyEvidence | undefined, metric: string): number {
+  const record = evidence as unknown as Record<string, unknown> | undefined;
+  return Number(record?.[metric] ?? 0);
+}
+
+function PolicyComparisonRenderer({ spec, data }: { spec: Extract<ChartSpec, { type: "policyComparison" }>; data: unknown }) {
+  const policies = evidenceScenario(data, spec.scenario);
+  const values = POLICY_ORDER.filter((policy) => policies[policy]).map((policy) => ({
+    policy,
+    value: evidenceValue(policies[policy], spec.metric),
+  }));
+  const max = Math.max(1, ...values.map((item) => item.value));
+  return (
+    <ChartFrame title={spec.title} source={spec.source}>
+      <div className="bar-chart" aria-label={spec.title}>
+        {values.map((item) => (
+          <div className="bar-row" key={item.policy} data-policy={item.policy}>
+            <span>{item.policy}</span>
+            <div className="bar-track"><span style={{ width: `${clamp((item.value / max) * 100, 2, 100)}%` }} /></div>
+            <strong>{item.value.toFixed(2)}</strong>
+          </div>
+        ))}
+      </div>
+    </ChartFrame>
+  );
+}
+
+function DistributionRenderer({ spec, data }: { spec: Extract<ChartSpec, { type: "distribution" }>; data: unknown }) {
+  const policies = evidenceScenario(data, spec.scenario);
+  const allValues = POLICY_ORDER.flatMap((policy) => policies[policy]?.avg_wait_seed_values ?? []);
+  const min = Math.min(...allValues, 0);
+  const max = Math.max(...allValues, 1);
+  return (
+    <ChartFrame title={spec.title} source={spec.source}>
+      <svg id="policy-density-chart" className="semantic-chart distribution-chart" viewBox="0 0 620 250" role="img" aria-label={spec.title}>
+        {POLICY_ORDER.map((policy, row) => {
+          const values = policies[policy]?.avg_wait_seed_values ?? [];
+          return (
+            <g key={policy} className="density-series" data-policy={policy}>
+              <text x="8" y={35 + row * 42}>{policy}</text>
+              <line x1="118" x2="600" y1={31 + row * 42} y2={31 + row * 42} className="chart-grid" />
+              {values.map((value, index) => (
+                <circle
+                  key={`${policy}-${index}`}
+                  cx={118 + normalize(Number(value), min, max) * 482}
+                  cy={31 + row * 42 + ((index % 3) - 1) * 4}
+                  r="3"
+                  className={`distribution-dot distribution-dot-${row}`}
+                />
+              ))}
+            </g>
+          );
+        })}
+      </svg>
+    </ChartFrame>
+  );
+}
+
+function TradeoffRenderer({ spec, data }: { spec: Extract<ChartSpec, { type: "tradeoff" }>; data: unknown }) {
+  const policies = evidenceScenario(data, spec.scenario);
+  const points = POLICY_ORDER.filter((policy) => policies[policy]).map((policy) => ({
+    policy,
+    x: evidenceValue(policies[policy], spec.x),
+    y: evidenceValue(policies[policy], spec.y),
+  }));
+  const xMin = Math.min(...points.map((point) => point.x));
+  const xMax = Math.max(...points.map((point) => point.x));
+  const yMin = Math.min(...points.map((point) => point.y));
+  const yMax = Math.max(...points.map((point) => point.y));
+  return (
+    <ChartFrame title={spec.title} source={spec.source}>
+      <svg className="semantic-chart" viewBox="0 0 620 260" role="img" aria-label={spec.title}>
+        <line x1="54" x2="598" y1="226" y2="226" className="chart-axis" />
+        <line x1="54" x2="54" y1="18" y2="226" className="chart-axis" />
+        {points.map((point, index) => (
+          <g key={point.policy} data-policy={point.policy}>
+            <circle
+              cx={64 + normalize(point.x, xMin, xMax) * 520}
+              cy={216 - normalize(point.y, yMin, yMax) * 184}
+              r="8"
+              className={`tradeoff-point tradeoff-point-${index}`}
+            />
+            <text x={72 + normalize(point.x, xMin, xMax) * 520} y={210 - normalize(point.y, yMin, yMax) * 184}>{point.policy}</text>
+          </g>
+        ))}
+        <text x="280" y="250">{spec.x}</text>
+        <text transform="translate(14 160) rotate(-90)">{spec.y}</text>
+      </svg>
+    </ChartFrame>
+  );
+}
+
+function FloorHeatmapRenderer({ spec, data }: { spec: Extract<ChartSpec, { type: "floorHeatmap" }>; data: unknown }) {
+  const snapshot = data as Snapshot | undefined;
+  const counts = Array.from({ length: 18 }, (_, index) => {
+    const floor = index + 1;
+    const queue = snapshot?.queues?.[String(floor)] ?? { up: 0, down: 0 };
+    return { floor, count: Number(queue.up) + Number(queue.down) };
+  });
+  const max = Math.max(1, ...counts.map((item) => item.count));
+  return (
+    <ChartFrame title={spec.title} source={spec.source}>
+      <div id="floor-heatmap" className="floor-heatmap">
+        {counts.map((item) => (
+          <div
+            key={item.floor}
+            className="heat-cell"
+            data-floor={item.floor}
+            data-queue={item.count}
+            style={{ "--heat": item.count / max } as React.CSSProperties}
+          >
+            <span>{item.floor}F</span>
+            <strong>{item.count}</strong>
+          </div>
+        ))}
+      </div>
+    </ChartFrame>
+  );
+}
+
+function ConfidenceIntervalRenderer({ spec, data }: { spec: Extract<ChartSpec, { type: "confidenceInterval" }>; data: unknown }) {
+  const policies = evidenceScenario(data, spec.scenario);
+  return (
+    <ChartFrame title={spec.title} source={spec.source}>
+      <div className="ci-chart">
+        {POLICY_ORDER.filter((policy) => policies[policy]).map((policy) => {
+          const item = policies[policy];
+          const mean = evidenceValue(item, spec.metric);
+          const halfwidth = Number(item.avg_wait_ci95_halfwidth ?? 0);
+          return (
+            <div key={policy} className="ci-row">
+              <span>{policy}</span>
+              <strong>{mean.toFixed(2)} ± {halfwidth.toFixed(2)}s</strong>
+            </div>
+          );
+        })}
+      </div>
+    </ChartFrame>
+  );
+}
+
+function ExperimentMatrixRenderer({ spec, data }: { spec: Extract<ChartSpec, { type: "experimentMatrix" }>; data: unknown }) {
+  const payload = data as ExperimentPayload | undefined;
+  const scenarios = Object.entries(payload?.baseline?.scenarios ?? {});
+  const values = scenarios.flatMap(([, scenario]) => POLICY_ORDER.map((policy) => evidenceValue(scenario.policies[policy], spec.metric)));
+  const min = Math.min(...values, 0);
+  const max = Math.max(...values, 1);
+  return (
+    <ChartFrame title={spec.title} source={spec.source}>
+      <div className="experiment-matrix" role="table" aria-label={spec.title}>
+        <div className="matrix-row matrix-head" role="row">
+          <span role="columnheader">scenario</span>
+          {POLICY_ORDER.map((policy) => <span role="columnheader" key={policy}>{policy}</span>)}
+        </div>
+        {scenarios.map(([scenarioName, scenario]) => (
+          <div className="matrix-row" role="row" key={scenarioName}>
+            <strong role="rowheader">{scenarioName}</strong>
+            {POLICY_ORDER.map((policy) => {
+              const value = evidenceValue(scenario.policies[policy], spec.metric);
+              return <span role="cell" key={policy} style={{ "--heat": normalize(value, min, max) } as React.CSSProperties}>{value.toFixed(1)}</span>;
+            })}
+          </div>
+        ))}
+      </div>
+    </ChartFrame>
+  );
+}
+
+function MetricCardRenderer({ spec, data }: { spec: Extract<ChartSpec, { type: "metricCard" }>; data: unknown }) {
+  const record = data as Record<string, unknown>;
+  return (
+    <ChartFrame title={spec.title} source={spec.source}>
+      <div className="single-metric-card">
+        <strong>{String(record?.[spec.metric] ?? "—")}{spec.unit ?? ""}</strong>
+        <span>{spec.metric}</span>
+      </div>
+    </ChartFrame>
+  );
+}
+
+const REGISTERED_RENDERERS = {
+  timeSeries: TimeSeriesRenderer,
+  policyComparison: PolicyComparisonRenderer,
+  distribution: DistributionRenderer,
+  tradeoff: TradeoffRenderer,
+  floorHeatmap: FloorHeatmapRenderer,
+  metricCard: MetricCardRenderer,
+  confidenceInterval: ConfidenceIntervalRenderer,
+  experimentMatrix: ExperimentMatrixRenderer,
+} as const;
+
+export function ChartRenderer({ spec: rawSpec, data }: ChartRendererProps) {
+  const parsed = parseChartSpec(rawSpec);
+  const Renderer = REGISTERED_RENDERERS[parsed.type] as React.ComponentType<{ spec: any; data: unknown }>;
+  return <Renderer spec={parsed} data={data} />;
+}
diff --git a/frontend/src/components/common/DataPill.tsx b/frontend/src/components/common/DataPill.tsx
new file mode 100644
index 0000000..790453c
--- /dev/null
+++ b/frontend/src/components/common/DataPill.tsx
@@ -0,0 +1,17 @@
+import type { ReactNode } from "react";
+
+
+interface DataPillProps {
+  label: string;
+  value?: ReactNode;
+  tone?: "neutral" | "live" | "warning" | "evidence";
+}
+
+export function DataPill({ label, value, tone = "neutral" }: DataPillProps) {
+  return (
+    <span className={`data-pill data-pill-${tone}`}>
+      <span>{label}</span>
+      {value !== undefined ? <strong>{value}</strong> : null}
+    </span>
+  );
+}
diff --git a/frontend/src/components/common/MetricCard.tsx b/frontend/src/components/common/MetricCard.tsx
new file mode 100644
index 0000000..bcd5128
--- /dev/null
+++ b/frontend/src/components/common/MetricCard.tsx
@@ -0,0 +1,17 @@
+interface MetricCardProps {
+  label: string;
+  value: string;
+  note?: string;
+  id?: string;
+  tone?: "default" | "positive" | "warning" | "negative";
+}
+
+export function MetricCard({ label, value, note, id, tone = "default" }: MetricCardProps) {
+  return (
+    <article className={`metric-card metric-card-${tone}`}>
+      <span>{label}</span>
+      <strong id={id}>{value}</strong>
+      {note ? <small>{note}</small> : null}
+    </article>
+  );
+}
diff --git a/frontend/src/components/common/WorkbenchState.tsx b/frontend/src/components/common/WorkbenchState.tsx
new file mode 100644
index 0000000..9ee3326
--- /dev/null
+++ b/frontend/src/components/common/WorkbenchState.tsx
@@ -0,0 +1,17 @@
+import type { ReactNode } from "react";
+
+
+interface WorkbenchStateProps {
+  kind: "loading" | "empty" | "error" | "warning";
+  title: string;
+  children?: ReactNode;
+}
+
+export function WorkbenchState({ kind, title, children }: WorkbenchStateProps) {
+  return (
+    <div className={`workbench-state workbench-state-${kind}`} role={kind === "error" ? "alert" : "status"}>
+      <strong>{title}</strong>
+      {children ? <div>{children}</div> : null}
+    </div>
+  );
+}
diff --git a/frontend/src/components/shell/Inspector.tsx b/frontend/src/components/shell/Inspector.tsx
new file mode 100644
index 0000000..e74b166
--- /dev/null
+++ b/frontend/src/components/shell/Inspector.tsx
@@ -0,0 +1,21 @@
+import type { ReactNode } from "react";
+
+
+interface InspectorProps {
+  title: string;
+  subtitle?: string;
+  children: ReactNode;
+}
+
+export function Inspector({ title, subtitle, children }: InspectorProps) {
+  return (
+    <div className="inspector">
+      <header>
+        <span>Inspector</span>
+        <strong>{title}</strong>
+        {subtitle ? <small>{subtitle}</small> : null}
+      </header>
+      <div className="inspector-body">{children}</div>
+    </div>
+  );
+}
diff --git a/frontend/src/components/shell/ProductShell.test.tsx b/frontend/src/components/shell/ProductShell.test.tsx
new file mode 100644
index 0000000..a504283
--- /dev/null
+++ b/frontend/src/components/shell/ProductShell.test.tsx
@@ -0,0 +1,28 @@
+import { fireEvent, render, screen } from "@testing-library/react";
+import { describe, expect, it, vi } from "vitest";
+import { ProductShell } from "./ProductShell";
+
+
+describe("ProductShell", () => {
+  it("exposes every M8 workbench as accessible navigation", () => {
+    const onNavigate = vi.fn();
+    render(
+      <ProductShell
+        active="live"
+        onNavigate={onNavigate}
+        title="Live Operations"
+        subtitle="Decision intelligence"
+        status={{ mode: "LIVE", scenario: "lunch", policy: "capr", runId: "run-test" }}
+      >
+        <div>Workbench body</div>
+      </ProductShell>,
+    );
+
+    for (const label of ["Live Operations", "Runs", "Dispatch Analysis", "Experiments", "Theory", "Models", "Explorer"]) {
+      expect(screen.getByRole("button", { name: new RegExp(`^${label}$`) })).toBeInTheDocument();
+    }
+    fireEvent.click(screen.getByRole("button", { name: "Explorer" }));
+    expect(onNavigate).toHaveBeenCalledWith("explorer");
+    expect(screen.getByRole("heading", { name: "Live Operations" })).toBeInTheDocument();
+  });
+});
diff --git a/frontend/src/components/shell/ProductShell.tsx b/frontend/src/components/shell/ProductShell.tsx
new file mode 100644
index 0000000..20c5a6b
--- /dev/null
+++ b/frontend/src/components/shell/ProductShell.tsx
@@ -0,0 +1,109 @@
+import type { ReactNode } from "react";
+import { DataPill } from "../common/DataPill";
+
+
+export type WorkbenchKey = "live" | "runs" | "dispatch" | "experiments" | "theory" | "models" | "explorer";
+
+interface ProductShellProps {
+  active: WorkbenchKey;
+  onNavigate: (next: WorkbenchKey) => void;
+  title: string;
+  subtitle: string;
+  toolbar?: ReactNode;
+  inspector?: ReactNode;
+  inspectorOpen?: boolean;
+  onToggleInspector?: () => void;
+  status: {
+    mode: string;
+    scenario?: string;
+    policy?: string;
+    runId?: string;
+    provenance?: string;
+  };
+  children: ReactNode;
+}
+
+const NAV_ITEMS: Array<{ key: WorkbenchKey; label: string; short: string }> = [
+  { key: "live", label: "Live Operations", short: "LO" },
+  { key: "runs", label: "Runs", short: "RU" },
+  { key: "dispatch", label: "Dispatch Analysis", short: "DA" },
+  { key: "experiments", label: "Experiments", short: "EX" },
+  { key: "theory", label: "Theory", short: "TH" },
+  { key: "models", label: "Models", short: "MO" },
+  { key: "explorer", label: "Explorer", short: "OB" },
+];
+
+export function ProductShell({
+  active,
+  onNavigate,
+  title,
+  subtitle,
+  toolbar,
+  inspector,
+  inspectorOpen = true,
+  onToggleInspector,
+  status,
+  children,
+}: ProductShellProps) {
+  return (
+    <div className="product-shell">
+      <header className="global-header">
+        <button className="brand-mark" type="button" onClick={() => onNavigate("live")} aria-label="Open Live Operations">
+          EQL
+        </button>
+        <div className="brand-copy">
+          <strong>Elevator Queue Lab</strong>
+          <span>Decision Intelligence Workbench</span>
+        </div>
+        <div className="global-header-status">
+          <DataPill label={status.mode} tone={status.mode === "LIVE" ? "live" : "neutral"} />
+          {status.scenario ? <DataPill label="scenario" value={status.scenario} /> : null}
+          {status.policy ? <DataPill label="policy" value={status.policy.toUpperCase()} tone="evidence" /> : null}
+        </div>
+      </header>
+
+      <aside className="product-rail" aria-label="Workbench navigation">
+        {NAV_ITEMS.map((item) => (
+          <button
+            key={item.key}
+            className={active === item.key ? "rail-button is-active" : "rail-button"}
+            type="button"
+            title={item.label}
+            aria-label={item.label}
+            aria-current={active === item.key ? "page" : undefined}
+            onClick={() => onNavigate(item.key)}
+          >
+            <span aria-hidden="true">{item.short}</span>
+            <small>{item.label}</small>
+          </button>
+        ))}
+      </aside>
+
+      <section className="resource-surface">
+        <div className="resource-header">
+          <div>
+            <span className="resource-eyebrow">{active.replace("-", " ")}</span>
+            <h1>{title}</h1>
+            <p>{subtitle}</p>
+          </div>
+          {inspector ? (
+            <button className="secondary-button inspector-toggle" type="button" onClick={onToggleInspector}>
+              {inspectorOpen ? "Hide inspector" : "Show inspector"}
+            </button>
+          ) : null}
+        </div>
+        {toolbar ? <div className="workbench-toolbar">{toolbar}</div> : null}
+        <div className={inspector && inspectorOpen ? "workbench-layout has-inspector" : "workbench-layout"}>
+          <main className="workbench-main">{children}</main>
+          {inspector && inspectorOpen ? <aside className="inspector-pane">{inspector}</aside> : null}
+        </div>
+      </section>
+
+      <footer className="status-bar">
+        <span>provenance: {status.provenance ?? "live simulator"}</span>
+        <span>{status.runId ?? "run pending"}</span>
+        <span>seeded reproducibility · no fabricated metrics</span>
+      </footer>
+    </div>
+  );
+}
diff --git a/frontend/src/contracts/api.ts b/frontend/src/contracts/api.ts
new file mode 100644
index 0000000..5d7ba46
--- /dev/null
+++ b/frontend/src/contracts/api.ts
@@ -0,0 +1,270 @@
+export type ScenarioName = "morning" | "lunch" | "normal" | "evening" | "shock" | "mixed_day";
+
+export type PolicyName = "legacy_sticky" | "nearest_car" | "collective" | "queue_aware" | "capr" | "rl";
+
+export interface MetricsSnapshot {
+  avg_wait: number;
+  p95_wait: number;
+  max_wait: number;
+  avg_queue: number;
+  little_law_lq: number;
+  arrival_rate_per_min: number;
+  served: number;
+  arrivals: number;
+  missed_capacity: number;
+  abandoned: number;
+  assignments: number;
+  reassignments: number;
+  invalidations: number;
+  current_queue: number;
+}
+
+export interface ElevatorSnapshot {
+  id: string;
+  bank: "low" | "high";
+  floor: number;
+  direction: number;
+  load: number;
+  capacity: number;
+  stops: number[];
+  door_open: boolean;
+  phase: string;
+  target_floor: number | null;
+}
+
+export interface HallCallSnapshot {
+  floor: number;
+  direction: number;
+  bank: "low" | "high";
+  destination: number | null;
+  assigned: string | null;
+  wait: number;
+  missed: number;
+  assigned_score: number | null;
+}
+
+export interface CandidateEvaluation {
+  elevator_id: string;
+  pickup_eta: number;
+  route_cost: number;
+  projected_load: number;
+  residual_capacity: number;
+  insertion_index: number;
+  score: number;
+  feasible: boolean;
+  reason: string;
+}
+
+export interface DispatchDecision {
+  sim_time: number;
+  floor: number;
+  direction: number;
+  bank: string;
+  destination: number | null;
+  queue_size: number;
+  current_assignment: string | null;
+  chosen_elevator_id: string | null;
+  reason: string;
+  candidates: CandidateEvaluation[];
+}
+
+export interface SimulationEvent {
+  sequence: number;
+  sim_time: number;
+  kind: string;
+  passenger_id: number | null;
+  elevator_id: string | null;
+  floor: number | null;
+  bank: string | null;
+  details: Record<string, unknown>;
+}
+
+export interface HistoryPoint {
+  sim_time: number;
+  avg_wait: number;
+  p95_wait: number;
+  avg_queue: number;
+}
+
+export interface SimulationConfig {
+  floors: number;
+  low_zone_max: number;
+  high_zone_min: number;
+  elevators_per_bank: number;
+  elevator_capacity: number;
+  floor_height_m: number;
+  max_speed_mps: number;
+  acceleration_mps2: number;
+  levelling_seconds: number;
+  door_open_seconds: number;
+  door_dwell_seconds: number;
+  door_close_seconds: number;
+  passenger_transfer_seconds: number;
+  time_step_seconds: number;
+  passenger_patience_seconds: number | null;
+  control_mode: "conventional" | "destination";
+  reassignment_interval_seconds: number;
+  reassignment_cooldown_seconds: number;
+  reassignment_min_gain: number;
+  reassignment_min_eta_gain_seconds: number;
+  max_noncapacity_reassignments_per_call: number;
+  capacity_reserve: number;
+}
+
+export interface Snapshot {
+  scenario: ScenarioName;
+  policy: PolicyName;
+  sim_time: number;
+  clock: string;
+  metrics: MetricsSnapshot;
+  weights: Record<string, number>;
+  elevators: ElevatorSnapshot[];
+  queues: Record<string, { up: number; down: number }>;
+  calls: HallCallSnapshot[];
+  history: HistoryPoint[];
+  audit: Record<string, unknown>;
+  event_tail: SimulationEvent[];
+  decision_tail: DispatchDecision[];
+  trace_digest: string | null;
+  simulation_config: SimulationConfig;
+  running: boolean;
+  speed: number;
+  replay_frames: number;
+  saved_replay_available: boolean;
+}
+
+export interface ReplayPayload {
+  schema: string;
+  source: "saved_run" | "live_buffer";
+  scenario: ScenarioName;
+  policy: PolicyName;
+  control_mode: string;
+  start_sim_time: number;
+  end_sim_time: number;
+  frame_count: number;
+  frames: Snapshot[];
+}
+
+export interface PolicyEvidence {
+  avg_wait: number;
+  avg_wait_ci95_halfwidth: number;
+  avg_wait_delta_ci95_halfwidth: number;
+  avg_wait_delta_vs_collective: number;
+  avg_wait_max: number;
+  avg_wait_min: number;
+  avg_wait_seed_values: number[];
+  energy_proxy: number;
+  guardrail_classification: string;
+  p95_wait: number;
+  p99_wait: number;
+  worst_floor_mean_wait: number;
+}
+
+export interface ExperimentPayload {
+  schema: string;
+  source: string;
+  baseline: {
+    schema: string;
+    source: Record<string, unknown>;
+    scenarios: Record<string, { policies: Record<string, PolicyEvidence>; trace_digest_manifest_sha256: string }>;
+  };
+}
+
+export interface TheoryPayload {
+  schema: string;
+  discovery: Record<string, any>;
+  validation: Record<string, any>;
+}
+
+export interface RunArtifact {
+  schema_version: string;
+  artifact_version: string;
+  simulator_version: string;
+  run_id: string;
+  scenario: ScenarioName;
+  policy: PolicyName;
+  seed: number;
+  sim_time: number;
+  trace_sha256: string | null;
+  metrics: MetricsSnapshot;
+  provenance: Record<string, any>;
+  trace_manifest: Record<string, any>;
+  created_at: string;
+}
+
+export interface RunsPayload {
+  schema: string;
+  runs: RunArtifact[];
+}
+
+export interface WorkbenchObject {
+  id: string;
+  object_type: string;
+  [key: string]: unknown;
+}
+
+export interface ObjectsPayload {
+  schema: string;
+  run_id: string;
+  object_types: string[];
+  selected_type: string | null;
+  objects: WorkbenchObject[];
+  counts: Record<string, number>;
+}
+
+export interface GraphNodePayload {
+  id: string;
+  type: string;
+  label: string;
+  data: Record<string, unknown>;
+}
+
+export interface GraphEdgePayload {
+  id: string;
+  source: string;
+  target: string;
+  relation: string;
+  evidence: string;
+}
+
+export interface DecisionGraphPayload {
+  schema: string;
+  run_id: string;
+  nodes: GraphNodePayload[];
+  edges: GraphEdgePayload[];
+  provenance: Record<string, unknown>;
+}
+
+export interface AskRunPayload {
+  schema: string;
+  run_id: string;
+  question: string;
+  intent: string;
+  answer: string;
+  evidence: Array<Record<string, unknown>>;
+  limitations: string[];
+  expression_layer: string;
+  llm_required: boolean;
+}
+
+export interface ArtifactReference {
+  artifact_type: string;
+  schema_version: string;
+  artifact_version: string;
+  artifact_id: string;
+  source: string;
+  sha256: string | null;
+}
+
+export interface ArtifactCatalogPayload {
+  schema: string;
+  run_id: string;
+  artifacts: ArtifactReference[];
+}
+
+export interface ModelsPayload {
+  schema: string;
+  model: Record<string, any>;
+  evaluation: Record<string, any>;
+  source: Record<string, string>;
+}
diff --git a/frontend/src/contracts/chartSpec.test.ts b/frontend/src/contracts/chartSpec.test.ts
new file mode 100644
index 0000000..01dd878
--- /dev/null
+++ b/frontend/src/contracts/chartSpec.test.ts
@@ -0,0 +1,36 @@
+import { describe, expect, it } from "vitest";
+import { parseChartSpec } from "./chartSpec";
+
+
+describe("ChartSpec runtime validation", () => {
+  it("accepts a registered distribution chart", () => {
+    const spec = parseChartSpec({
+      type: "distribution",
+      title: "30-seed AWT distribution",
+      source: "evidence/m3-regression-baseline.json",
+      metric: "avg_wait",
+      groupBy: "policy",
+      scenario: "lunch",
+      confidenceInterval: true,
+    });
+
+    expect(spec.type).toBe("distribution");
+    if (spec.type !== "distribution") throw new Error("Expected a distribution ChartSpec");
+    expect(spec.scenario).toBe("lunch");
+  });
+
+  it("rejects arbitrary component types", () => {
+    expect(() => parseChartSpec({ type: "html", title: "Unsafe", source: "planner", html: "<script/>" })).toThrow();
+  });
+
+  it("rejects missing evidence source", () => {
+    expect(() => parseChartSpec({
+      type: "tradeoff",
+      title: "Tradeoff",
+      x: "energy_proxy",
+      y: "avg_wait",
+      groupBy: "policy",
+      scenario: "evening",
+    })).toThrow();
+  });
+});
diff --git a/frontend/src/contracts/chartSpec.ts b/frontend/src/contracts/chartSpec.ts
new file mode 100644
index 0000000..00b7f65
--- /dev/null
+++ b/frontend/src/contracts/chartSpec.ts
@@ -0,0 +1,80 @@
+import { z } from "zod";
+
+
+const BaseSpecSchema = z.object({
+  title: z.string().min(1),
+  source: z.string().min(1),
+});
+
+export const TimeSeriesChartSpecSchema = BaseSpecSchema.extend({
+  type: z.literal("timeSeries"),
+  x: z.string().min(1),
+  y: z.array(z.string().min(1)).min(1),
+});
+
+export const PolicyComparisonChartSpecSchema = BaseSpecSchema.extend({
+  type: z.literal("policyComparison"),
+  metric: z.string().min(1),
+  groupBy: z.literal("policy"),
+  scenario: z.string().min(1),
+  confidenceInterval: z.boolean().default(false),
+});
+
+export const DistributionChartSpecSchema = BaseSpecSchema.extend({
+  type: z.literal("distribution"),
+  metric: z.string().min(1),
+  groupBy: z.literal("policy"),
+  scenario: z.string().min(1),
+  confidenceInterval: z.boolean().default(false),
+});
+
+export const TradeoffChartSpecSchema = BaseSpecSchema.extend({
+  type: z.literal("tradeoff"),
+  x: z.string().min(1),
+  y: z.string().min(1),
+  groupBy: z.literal("policy"),
+  scenario: z.string().min(1),
+  reference: z.string().optional(),
+});
+
+export const FloorHeatmapChartSpecSchema = BaseSpecSchema.extend({
+  type: z.literal("floorHeatmap"),
+  metric: z.string().min(1),
+});
+
+export const MetricCardChartSpecSchema = BaseSpecSchema.extend({
+  type: z.literal("metricCard"),
+  metric: z.string().min(1),
+  unit: z.string().optional(),
+});
+
+export const ConfidenceIntervalChartSpecSchema = BaseSpecSchema.extend({
+  type: z.literal("confidenceInterval"),
+  metric: z.string().min(1),
+  scenario: z.string().min(1),
+  groupBy: z.literal("policy"),
+});
+
+export const ExperimentMatrixChartSpecSchema = BaseSpecSchema.extend({
+  type: z.literal("experimentMatrix"),
+  metric: z.string().min(1),
+  row: z.literal("scenario"),
+  column: z.literal("policy"),
+});
+
+export const ChartSpecSchema = z.discriminatedUnion("type", [
+  TimeSeriesChartSpecSchema,
+  PolicyComparisonChartSpecSchema,
+  DistributionChartSpecSchema,
+  TradeoffChartSpecSchema,
+  FloorHeatmapChartSpecSchema,
+  MetricCardChartSpecSchema,
+  ConfidenceIntervalChartSpecSchema,
+  ExperimentMatrixChartSpecSchema,
+]);
+
+export type ChartSpec = z.infer<typeof ChartSpecSchema>;
+
+export function parseChartSpec(input: unknown): ChartSpec {
+  return ChartSpecSchema.parse(input);
+}
diff --git a/frontend/src/features/dispatch/DispatchWorkbench.tsx b/frontend/src/features/dispatch/DispatchWorkbench.tsx
new file mode 100644
index 0000000..e869030
--- /dev/null
+++ b/frontend/src/features/dispatch/DispatchWorkbench.tsx
@@ -0,0 +1,21 @@
+import { useState } from "react";
+import type { DispatchDecision, Snapshot } from "../../contracts/api";
+
+
+export function DispatchWorkbench({ snapshot }: { snapshot: Snapshot }) {
+  const decisions = [...snapshot.decision_tail].reverse();
+  const [selectedIndex, setSelectedIndex] = useState(0);
+  const selected: DispatchDecision | undefined = decisions[selectedIndex] ?? decisions[0];
+  return (
+    <div className="dispatch-workbench" data-testid="dispatch-workbench">
+      <section className="decision-list-pane panel-card">
+        <header className="section-heading"><div><span>Decision ledger</span><strong>Retained dispatch evaluations</strong></div><span>{decisions.length} decisions</span></header>
+        <div className="decision-list">{decisions.map((decision, index) => <button key={`${decision.sim_time}-${index}`} type="button" className={index === selectedIndex ? "is-active" : ""} onClick={() => setSelectedIndex(index)}><strong>T+{decision.sim_time.toFixed(1)} · {decision.floor}F {decision.direction > 0 ? "↑" : "↓"}</strong><span>{decision.chosen_elevator_id ?? "none"} · {decision.queue_size} queued</span></button>)}</div>
+      </section>
+      <section className="decision-analysis-pane panel-card">
+        <header className="section-heading"><div><span>Candidate evaluation</span><strong>{selected ? selected.reason : "No decision yet"}</strong></div></header>
+        {selected ? <div className="compact-table-wrap"><table className="compact-table"><caption>ETA, residual capacity, score and feasibility</caption><thead><tr><th>Car</th><th>ETA</th><th>Route</th><th>Projected load</th><th>Residual</th><th>Score</th><th>Feasible</th></tr></thead><tbody>{[...selected.candidates].sort((a, b) => a.score - b.score).map((candidate) => <tr key={candidate.elevator_id} className={candidate.elevator_id === selected.chosen_elevator_id ? "chosen" : ""}><td>{candidate.elevator_id}</td><td>{candidate.pickup_eta.toFixed(2)}s</td><td>{candidate.route_cost.toFixed(2)}s</td><td>{candidate.projected_load}</td><td>{candidate.residual_capacity}</td><td>{candidate.score.toFixed(2)}</td><td>{candidate.feasible ? "yes" : "no"}</td></tr>)}</tbody></table></div> : <p className="muted">No retained decision evidence.</p>}
+      </section>
+    </div>
+  );
+}
diff --git a/frontend/src/features/experiments/ExperimentsWorkbench.tsx b/frontend/src/features/experiments/ExperimentsWorkbench.tsx
new file mode 100644
index 0000000..1670764
--- /dev/null
+++ b/frontend/src/features/experiments/ExperimentsWorkbench.tsx
@@ -0,0 +1,143 @@
+import { useMemo, useState } from "react";
+import { ChartRenderer } from "../../components/charts/ChartRenderer";
+import { DataPill } from "../../components/common/DataPill";
+import type { ExperimentPayload, PolicyEvidence } from "../../contracts/api";
+import type { ChartSpec } from "../../contracts/chartSpec";
+
+
+const POLICY_ORDER = ["legacy_sticky", "nearest_car", "collective", "queue_aware", "capr"];
+const POLICY_LABELS: Record<string, string> = {
+  legacy_sticky: "Legacy sticky",
+  nearest_car: "Nearest car",
+  collective: "Collective",
+  queue_aware: "Queue-aware",
+  capr: "CAPR",
+};
+
+function classificationRank(classification: string): number {
+  return {
+    candidate_improvement: 0,
+    reference: 1,
+    mean_improves_with_guardrail_tradeoff: 2,
+    no_mean_improvement: 3,
+  }[classification] ?? 4;
+}
+
+function fmt(value: number, digits = 2): string {
+  return Number(value).toFixed(digits);
+}
+
+export function ExperimentsWorkbench({ payload }: { payload: ExperimentPayload }) {
+  const [scenario, setScenario] = useState("lunch");
+  const [metric, setMetric] = useState("avg_wait");
+  const policies = payload.baseline.scenarios[scenario]?.policies ?? {};
+  const ranked = useMemo(() => POLICY_ORDER.filter((policy) => policies[policy]).map((policy) => ({ policy, evidence: policies[policy] })).sort((a, b) => {
+    const guardrail = classificationRank(a.evidence.guardrail_classification) - classificationRank(b.evidence.guardrail_classification);
+    return guardrail || a.evidence.avg_wait - b.evidence.avg_wait;
+  }), [policies]);
+  const selectedPolicy = ranked[0]?.policy ?? "collective";
+  const selected = policies[selectedPolicy];
+  const collective = policies.collective;
+  const distributionSpec: ChartSpec = {
+    type: "distribution",
+    title: "30-seed AWT distribution",
+    source: payload.source,
+    metric: "avg_wait",
+    groupBy: "policy",
+    scenario,
+    confidenceInterval: true,
+  };
+  const ciSpec: ChartSpec = {
+    type: "confidenceInterval",
+    title: "Mean AWT · 95% confidence interval",
+    source: payload.source,
+    metric: "avg_wait",
+    scenario,
+    groupBy: "policy",
+  };
+  const tradeoffSpec: ChartSpec = {
+    type: "tradeoff",
+    title: "Energy / wait tradeoff",
+    source: payload.source,
+    x: "energy_proxy",
+    y: "avg_wait",
+    groupBy: "policy",
+    scenario,
+    reference: "collective",
+  };
+  const matrixSpec: ChartSpec = {
+    type: "experimentMatrix",
+    title: "Scenario × policy matrix",
+    source: payload.source,
+    metric,
+    row: "scenario",
+    column: "policy",
+  };
+
+  return (
+    <div className="analysis-workbench" data-testid="experiments-workbench">
+      <section className="analysis-control-strip">
+        <label>Scenario<select id="evidence-scenario" value={scenario} onChange={(event) => setScenario(event.target.value)}>{Object.keys(payload.baseline.scenarios).map((name) => <option key={name} value={name}>{name}</option>)}</select></label>
+        <label>Metric<select value={metric} onChange={(event) => setMetric(event.target.value)}><option value="avg_wait">Mean AWT</option><option value="p95_wait">P95 wait</option><option value="p99_wait">P99 wait</option><option value="worst_floor_mean_wait">Worst-floor mean</option><option value="energy_proxy">Energy proxy</option></select></label>
+        <DataPill label="common random numbers" tone="evidence" />
+        <DataPill label="30 seeds" tone="evidence" />
+      </section>
+
+      <section id="policy-leaders" className="policy-leaders" aria-label="Evidence leaders">
+        {ranked.slice(0, 3).map(({ policy, evidence }, index) => (
+          <article key={policy} className={`policy-leader ${index === 0 ? "primary" : ""}`} data-policy={policy}>
+            <span>{index === 0 ? "Evidence leader" : `Rank ${index + 1}`}</span>
+            <strong>{POLICY_LABELS[policy]}</strong>
+            <small>{evidence.avg_wait.toFixed(2)}s AWT · {evidence.guardrail_classification.replaceAll("_", " ")}</small>
+          </article>
+        ))}
+      </section>
+
+      <section id="comparison-cards" className="comparison-cards">
+        {POLICY_ORDER.filter((policy) => policies[policy]).map((policy) => {
+          const evidence = policies[policy];
+          const delta = collective ? evidence.avg_wait - collective.avg_wait : 0;
+          return (
+            <article key={policy} className="comparison-card" data-policy={policy}>
+              <span>{POLICY_LABELS[policy]}</span>
+              <strong>{fmt(evidence.avg_wait)}s</strong>
+              <small>P95 {fmt(evidence.p95_wait)}s · P99 {fmt(evidence.p99_wait)}s</small>
+              <small>95% CI ±{fmt(evidence.avg_wait_ci95_halfwidth)}s</small>
+              <small>vs collective {delta >= 0 ? "+" : ""}{fmt(delta)}s</small>
+              <DataPill label={evidence.guardrail_classification.replaceAll("_", " ")} tone={evidence.guardrail_classification === "candidate_improvement" ? "live" : "neutral"} />
+            </article>
+          );
+        })}
+      </section>
+
+      {selected ? <EvidenceDetail policy={selectedPolicy} evidence={selected} /> : null}
+      <div className="chart-grid-two"><ChartRenderer spec={distributionSpec} data={payload} /><ChartRenderer spec={ciSpec} data={payload} /></div>
+      <div className="chart-grid-two"><ChartRenderer spec={tradeoffSpec} data={payload} /><ChartRenderer spec={matrixSpec} data={payload} /></div>
+
+      <section className="panel-card">
+        <header className="section-heading"><div><span>Policy ranking</span><strong>Committed M3 evidence only</strong></div></header>
+        <div className="compact-table-wrap">
+          <table className="compact-table">
+            <caption>{scenario} policy evidence</caption>
+            <thead><tr><th>Policy</th><th>Mean</th><th>P95</th><th>P99</th><th>Worst floor</th><th>Energy</th><th>Paired Δ</th><th>Guardrail</th></tr></thead>
+            <tbody id="policy-ranking-body">
+              {ranked.map(({ policy, evidence }) => <tr key={policy} data-policy={policy}><td>{POLICY_LABELS[policy]}</td><td>{fmt(evidence.avg_wait)}</td><td>{fmt(evidence.p95_wait)}</td><td>{fmt(evidence.p99_wait)}</td><td>{fmt(evidence.worst_floor_mean_wait)}</td><td>{fmt(evidence.energy_proxy, 1)}</td><td>{fmt(evidence.avg_wait_delta_vs_collective)}</td><td>{evidence.guardrail_classification.replaceAll("_", " ")}</td></tr>)}
+            </tbody>
+          </table>
+        </div>
+        <p className="evidence-note">P50, fairness, capacity misses, and reassignment latency are shown only when a committed artifact exposes those aggregations. The M3 regression baseline does not contain every one of those fields, so this UI does not synthesize them.</p>
+      </section>
+    </div>
+  );
+}
+
+function EvidenceDetail({ policy, evidence }: { policy: string; evidence: PolicyEvidence }) {
+  return (
+    <section className="evidence-detail-grid">
+      <article><span>Selected policy</span><strong>{POLICY_LABELS[policy]}</strong></article>
+      <article><span>Worst-floor mean</span><strong>{evidence.worst_floor_mean_wait.toFixed(2)}s</strong></article>
+      <article><span>Energy proxy</span><strong>{evidence.energy_proxy.toFixed(1)}</strong></article>
+      <article><span>Paired Δ CI</span><strong>±{evidence.avg_wait_delta_ci95_halfwidth.toFixed(2)}s</strong></article>
+    </section>
+  );
+}
diff --git a/frontend/src/features/explorer/DecisionTraceGraph.tsx b/frontend/src/features/explorer/DecisionTraceGraph.tsx
new file mode 100644
index 0000000..4466eae
--- /dev/null
+++ b/frontend/src/features/explorer/DecisionTraceGraph.tsx
@@ -0,0 +1,84 @@
+import { useMemo } from "react";
+import {
+  Background,
+  Controls,
+  MiniMap,
+  ReactFlow,
+  type Edge,
+  type Node,
+} from "@xyflow/react";
+import type { DecisionGraphPayload } from "../../contracts/api";
+
+
+interface DecisionTraceGraphProps {
+  graph: DecisionGraphPayload;
+  onSelect: (selection: Record<string, unknown> | null) => void;
+}
+
+const TYPE_COLUMNS: Record<string, number> = {
+  Passenger: 0,
+  HallCall: 1,
+  DispatchDecision: 2,
+  Elevator: 3,
+};
+
+export function DecisionTraceGraph({ graph, onSelect }: DecisionTraceGraphProps) {
+  const nodes = useMemo<Node[]>(() => {
+    const counts = new Map<string, number>();
+    return graph.nodes.map((item) => {
+      const column = TYPE_COLUMNS[item.type] ?? 4;
+      const row = counts.get(item.type) ?? 0;
+      counts.set(item.type, row + 1);
+      return {
+        id: item.id,
+        position: { x: column * 245, y: row * 92 },
+        data: { label: item.label, ...item.data },
+        className: `trace-node trace-node-${item.type.toLowerCase()}`,
+        ariaLabel: `${item.type} ${item.label}`,
+      };
+    });
+  }, [graph.nodes]);
+  const edges = useMemo<Edge[]>(() => graph.edges.map((item) => ({
+    id: item.id,
+    source: item.source,
+    target: item.target,
+    label: item.relation,
+    data: { evidence: item.evidence, relation: item.relation },
+    className: "trace-edge",
+  })), [graph.edges]);
+
+  return (
+    <section className="decision-trace-card" data-testid="decision-trace">
+      <header className="section-heading">
+        <div><span>Decision Trace</span><strong>Evidence graph projection</strong></div>
+        <span>{graph.nodes.length} nodes · {graph.edges.length} edges</span>
+      </header>
+      <div className="decision-trace-graph" aria-label="Interactive dispatch decision graph">
+        <ReactFlow
+          nodes={nodes}
+          edges={edges}
+          fitView
+          minZoom={0.25}
+          maxZoom={1.8}
+          nodesDraggable
+          nodesConnectable={false}
+          elementsSelectable
+          onNodeClick={(_, node) => onSelect({ kind: "node", id: node.id, ...node.data })}
+          onEdgeClick={(_, edge) => onSelect({ kind: "edge", id: edge.id, ...edge.data })}
+        >
+          <Background gap={20} size={1} />
+          <MiniMap pannable zoomable />
+          <Controls showInteractive={false} />
+        </ReactFlow>
+      </div>
+      <details className="graph-alternative">
+        <summary>Accessible relationship list</summary>
+        <ul>
+          {graph.edges.map((edge) => (
+            <li key={edge.id}><button type="button" onClick={() => onSelect({ kind: "edge", ...edge })}>{edge.source} → {edge.relation} → {edge.target}</button></li>
+          ))}
+        </ul>
+      </details>
+    </section>
+  );
+}
diff --git a/frontend/src/features/explorer/ExplorerWorkbench.tsx b/frontend/src/features/explorer/ExplorerWorkbench.tsx
new file mode 100644
index 0000000..b0ba009
--- /dev/null
+++ b/frontend/src/features/explorer/ExplorerWorkbench.tsx
@@ -0,0 +1,123 @@
+import { useEffect, useState } from "react";
+import { api } from "../../api/client";
+import { DataPill } from "../../components/common/DataPill";
+import { WorkbenchState } from "../../components/common/WorkbenchState";
+import type { AskRunPayload, DecisionGraphPayload, ObjectsPayload, WorkbenchObject } from "../../contracts/api";
+import { DecisionTraceGraph } from "./DecisionTraceGraph";
+
+
+interface ExplorerWorkbenchProps {
+  runId: string;
+  initialObjects: ObjectsPayload;
+  graph: DecisionGraphPayload;
+}
+
+function displayName(item: WorkbenchObject): string {
+  if (typeof item.name === "string") return item.name;
+  if (typeof item.passenger_id === "number") return `Passenger P-${item.passenger_id}`;
+  if (item.object_type === "HallCall") return `${String(item.floor)}F ${Number(item.direction) > 0 ? "↑" : "↓"}`;
+  if (item.object_type === "DispatchDecision") return `${item.id} · ${String(item.chosen_elevator_id ?? "unassigned")}`;
+  return item.id;
+}
+
+function ObjectDetail({ selection }: { selection: WorkbenchObject | Record<string, unknown> | null }) {
+  if (!selection) return <WorkbenchState kind="empty" title="Select an object or graph relationship" />;
+  return (
+    <div className="object-detail">
+      <header><span>Evidence inspector</span><strong>{String(selection.id ?? selection.kind ?? "selection")}</strong></header>
+      <dl>
+        {Object.entries(selection).filter(([key]) => !["candidates", "provenance", "trace_manifest", "metadata"].includes(key)).slice(0, 18).map(([key, value]) => (
+          <div key={key}><dt>{key.replaceAll("_", " ")}</dt><dd>{typeof value === "object" ? JSON.stringify(value) : String(value ?? "—")}</dd></div>
+        ))}
+      </dl>
+      {["candidates", "provenance", "trace_manifest", "metadata"].map((key) => selection[key] ? (
+        <details key={key}><summary>{key.replaceAll("_", " ")}</summary><pre className="json-preview">{JSON.stringify(selection[key], null, 2)}</pre></details>
+      ) : null)}
+    </div>
+  );
+}
+
+export function ExplorerWorkbench({ runId, initialObjects, graph }: ExplorerWorkbenchProps) {
+  const [objectType, setObjectType] = useState("Passenger");
+  const [payload, setPayload] = useState(initialObjects);
+  const [selected, setSelected] = useState<WorkbenchObject | Record<string, unknown> | null>(null);
+  const [loading, setLoading] = useState(false);
+  const [question, setQuestion] = useState("Why did CAPR choose this elevator?");
+  const [answer, setAnswer] = useState<AskRunPayload | null>(null);
+  const [error, setError] = useState<string | null>(null);
+
+  useEffect(() => {
+    let active = true;
+    setLoading(true);
+    api.objects(runId, objectType).then((next) => {
+      if (!active) return;
+      setPayload(next);
+      setSelected(next.objects[0] ?? null);
+      setLoading(false);
+    }).catch((cause: unknown) => {
+      if (!active) return;
+      setError(cause instanceof Error ? cause.message : String(cause));
+      setLoading(false);
+    });
+    return () => { active = false; };
+  }, [runId, objectType]);
+
+  async function askRun() {
+    setError(null);
+    try {
+      setAnswer(await api.ask(runId, question));
+    } catch (cause) {
+      setError(cause instanceof Error ? cause.message : String(cause));
+    }
+  }
+
+  return (
+    <div className="explorer-workbench" data-testid="explorer-workbench">
+      <div className="object-explorer-grid">
+        <aside className="object-type-list" aria-label="Object types">
+          <header><span>Object types</span><strong>{initialObjects.object_types.length}</strong></header>
+          {initialObjects.object_types.map((type) => (
+            <button key={type} type="button" className={objectType === type ? "is-active" : ""} onClick={() => setObjectType(type)}>
+              <span>{type}</span><small>{initialObjects.counts[type] ?? 0}</small>
+            </button>
+          ))}
+        </aside>
+        <section className="object-list-pane">
+          <header className="section-heading"><div><span>{objectType}</span><strong>Run objects</strong></div><DataPill label={`${payload.objects.length} visible`} /></header>
+          {loading ? <WorkbenchState kind="loading" title="Loading object projection" /> : (
+            <div className="object-list">
+              {payload.objects.length ? payload.objects.map((item) => (
+                <button key={item.id} type="button" className={selected?.id === item.id ? "is-active" : ""} onClick={() => setSelected(item)}>
+                  <strong>{displayName(item)}</strong><span>{item.object_type}</span>
+                </button>
+              )) : <WorkbenchState kind="empty" title="No objects in the current retained run state" />}
+            </div>
+          )}
+        </section>
+        <aside className="object-detail-inspector"><ObjectDetail selection={selected} /></aside>
+      </div>
+
+      <DecisionTraceGraph graph={graph} onSelect={setSelected} />
+
+      <section className="ask-run-card">
+        <header className="section-heading"><div><span>Ask This Run</span><strong>Deterministic evidence query</strong></div><DataPill label="LLM not required" tone="evidence" /></header>
+        <div className="ask-run-form">
+          <input aria-label="Ask this run question" value={question} onChange={(event) => setQuestion(event.target.value)} onKeyDown={(event) => { if (event.key === "Enter") void askRun(); }} />
+          <button className="primary-button" type="button" onClick={askRun}>Query evidence</button>
+        </div>
+        <div className="suggested-questions">
+          {["Compare this run with collective", "Why was this call reassigned?", "What caused the P95 spike?"].map((item) => <button key={item} type="button" onClick={() => setQuestion(item)}>{item}</button>)}
+        </div>
+        {error ? <WorkbenchState kind="error" title="Evidence query failed">{error}</WorkbenchState> : null}
+        {answer ? (
+          <article className="ask-run-answer">
+            <span>{answer.intent.replaceAll("_", " ")}</span>
+            <strong>{answer.answer}</strong>
+            <details><summary>{answer.evidence.length} evidence package item(s)</summary><pre className="json-preview">{JSON.stringify(answer.evidence, null, 2)}</pre></details>
+            <small>{answer.limitations.join(" ")}</small>
+          </article>
+        ) : null}
+      </section>
+    </div>
+  );
+}
diff --git a/frontend/src/features/live-operations/DecisionInspector.tsx b/frontend/src/features/live-operations/DecisionInspector.tsx
new file mode 100644
index 0000000..b7c6eb4
--- /dev/null
+++ b/frontend/src/features/live-operations/DecisionInspector.tsx
@@ -0,0 +1,41 @@
+import type { DispatchDecision } from "../../contracts/api";
+import { Inspector } from "../../components/shell/Inspector";
+
+
+export function DecisionInspector({ decision }: { decision?: DispatchDecision }) {
+  if (!decision) {
+    return (
+      <Inspector title="Dispatch decision" subtitle="Waiting for evidence">
+        <p id="decision-reason" className="muted">Waiting for the first dispatch decision…</p>
+      </Inspector>
+    );
+  }
+  const rows = [...(decision.candidates ?? [])].sort((a, b) => Number(a.score) - Number(b.score));
+  return (
+    <Inspector title="Dispatch decision" subtitle={`T+${decision.sim_time.toFixed(1)}s · ${decision.bank} bank`}>
+      <div className="inspector-kv">
+        <span>Call</span><strong id="decision-call">{decision.floor}F {decision.direction > 0 ? "↑" : "↓"}{decision.destination ? ` → ${decision.destination}F` : ""}</strong>
+        <span>Queue</span><strong id="decision-queue">queue {decision.queue_size}</strong>
+        <span>Selected</span><strong>{decision.chosen_elevator_id ?? "none"}</strong>
+      </div>
+      <p id="decision-reason" className="decision-reason">{decision.reason}</p>
+      <div className="compact-table-wrap">
+        <table className="compact-table">
+          <caption>Candidate evaluation</caption>
+          <thead><tr><th>Car</th><th>ETA</th><th>Residual</th><th>Score</th><th>Feasible</th></tr></thead>
+          <tbody id="decision-candidates">
+            {rows.map((candidate) => (
+              <tr key={candidate.elevator_id} className={candidate.elevator_id === decision.chosen_elevator_id ? "chosen" : ""}>
+                <td>{candidate.elevator_id}{candidate.elevator_id === decision.chosen_elevator_id ? " ✓" : ""}</td>
+                <td>{candidate.pickup_eta.toFixed(1)}s</td>
+                <td>{candidate.residual_capacity}</td>
+                <td>{candidate.score.toFixed(1)}</td>
+                <td>{candidate.feasible ? "yes" : "no"}</td>
+              </tr>
+            ))}
+          </tbody>
+        </table>
+      </div>
+    </Inspector>
+  );
+}
diff --git a/frontend/src/features/live-operations/DigitalTwin.test.tsx b/frontend/src/features/live-operations/DigitalTwin.test.tsx
new file mode 100644
index 0000000..e137ef6
--- /dev/null
+++ b/frontend/src/features/live-operations/DigitalTwin.test.tsx
@@ -0,0 +1,100 @@
+import { render } from "@testing-library/react";
+import { describe, expect, it } from "vitest";
+import type { Snapshot } from "../../contracts/api";
+import { DigitalTwin } from "./DigitalTwin";
+
+
+function snapshotFixture(): Snapshot {
+  const queues = Object.fromEntries(Array.from({ length: 18 }, (_, index) => [String(index + 1), { up: index === 0 ? 3 : 0, down: 0 }]));
+  return {
+    scenario: "lunch",
+    policy: "capr",
+    sim_time: 60,
+    clock: "12:01:00",
+    metrics: {
+      avg_wait: 12,
+      p95_wait: 30,
+      max_wait: 40,
+      avg_queue: 2,
+      little_law_lq: 2,
+      arrival_rate_per_min: 4,
+      served: 10,
+      arrivals: 15,
+      missed_capacity: 0,
+      abandoned: 0,
+      assignments: 5,
+      reassignments: 1,
+      invalidations: 0,
+      current_queue: 5,
+    },
+    weights: {},
+    elevators: ["L1", "L2", "L3", "H1", "H2", "H3"].map((id, index) => ({
+      id,
+      bank: id.startsWith("L") ? "low" as const : "high" as const,
+      floor: index + 1,
+      direction: index % 2 ? 1 : 0,
+      load: index,
+      capacity: 16,
+      stops: [Math.min(18, index + 2)],
+      door_open: false,
+      phase: "idle",
+      target_floor: null,
+    })),
+    queues,
+    calls: [{
+      floor: 1,
+      direction: 1,
+      bank: "low",
+      destination: null,
+      assigned: "L1",
+      wait: 4,
+      missed: 0,
+      assigned_score: 2.1,
+    }],
+    history: [],
+    audit: {},
+    event_tail: [],
+    decision_tail: [],
+    trace_digest: null,
+    simulation_config: {
+      floors: 18,
+      low_zone_max: 9,
+      high_zone_min: 10,
+      elevators_per_bank: 3,
+      elevator_capacity: 16,
+      floor_height_m: 4,
+      max_speed_mps: 2.5,
+      acceleration_mps2: 1,
+      levelling_seconds: 1,
+      door_open_seconds: 1,
+      door_dwell_seconds: 2,
+      door_close_seconds: 1,
+      passenger_transfer_seconds: 0.3,
+      time_step_seconds: 0.1,
+      passenger_patience_seconds: null,
+      control_mode: "conventional",
+      reassignment_interval_seconds: 2,
+      reassignment_cooldown_seconds: 5,
+      reassignment_min_gain: 4,
+      reassignment_min_eta_gain_seconds: 2,
+      max_noncapacity_reassignments_per_call: 1,
+      capacity_reserve: 2,
+    },
+    running: true,
+    speed: 20,
+    replay_frames: 20,
+    saved_replay_available: false,
+  };
+}
+
+describe("DigitalTwin", () => {
+  it("keeps the research building contract visible after the React migration", () => {
+    const { container } = render(<DigitalTwin snapshot={snapshotFixture()} />);
+
+    expect(container.querySelectorAll(".floor-line")).toHaveLength(18);
+    expect(container.querySelectorAll("[data-car-id]")).toHaveLength(6);
+    expect(container.querySelectorAll("#assignment-overlay line")).toHaveLength(1);
+    expect(container.querySelector('[data-car-id="L1"]')).toHaveAttribute("data-capacity", "16");
+    expect(container.querySelector('[data-car-id="H3"]')).toHaveAttribute("data-floor", "6");
+  });
+});
diff --git a/frontend/src/features/live-operations/DigitalTwin.tsx b/frontend/src/features/live-operations/DigitalTwin.tsx
new file mode 100644
index 0000000..d73a9d4
--- /dev/null
+++ b/frontend/src/features/live-operations/DigitalTwin.tsx
@@ -0,0 +1,102 @@
+import type { HallCallSnapshot, Snapshot } from "../../contracts/api";
+
+
+const FLOOR_COUNT = 18;
+const CAR_ORDER = ["L1", "L2", "L3", "H1", "H2", "H3"];
+
+function floorPercent(floor: number): number {
+  return ((floor - 1) / (FLOOR_COUNT - 1)) * 100;
+}
+
+function callLabel(call: HallCallSnapshot): string {
+  const destination = call.destination ? ` → ${call.destination}F` : "";
+  return `${call.floor}F ${call.direction > 0 ? "↑" : "↓"}${destination}`;
+}
+
+export function DigitalTwin({ snapshot }: { snapshot: Snapshot }) {
+  const assignmentCalls = snapshot.calls.filter((call) => call.assigned).slice(0, 16);
+  return (
+    <section className="digital-twin-card" aria-label="18-floor six-car digital twin">
+      <header className="section-heading">
+        <div>
+          <span>Digital Twin</span>
+          <strong>18 floors · 6 cars</strong>
+        </div>
+        <div className="twin-legend" aria-label="Elevator bank legend">
+          <span className="legend-low">Low bank</span>
+          <span className="legend-high">High bank</span>
+        </div>
+      </header>
+      <div id="building" className="building">
+        <div id="floor-labels" className="floor-labels" aria-hidden="true">
+          {Array.from({ length: FLOOR_COUNT }, (_, index) => index + 1).map((floor) => (
+            <span key={floor} style={{ bottom: `calc(${floorPercent(floor)}% - 7px)` }}>
+              {floor === FLOOR_COUNT ? "18F · ROOF" : `${floor}F`}
+            </span>
+          ))}
+        </div>
+        <div id="floors" className="floors">
+          {Array.from({ length: FLOOR_COUNT }, (_, index) => index + 1).map((floor) => {
+            const queue = snapshot.queues[String(floor)] ?? { up: 0, down: 0 };
+            const total = Number(queue.up) + Number(queue.down);
+            return (
+              <div key={floor}>
+                <span
+                  className={`floor-line ${floor === 1 ? "lobby" : ""}`}
+                  data-floor={floor}
+                  style={{ bottom: `${floorPercent(floor)}%` }}
+                />
+                {total > 0 ? (
+                  <span className="queue-badge" data-floor={floor} style={{ bottom: `calc(${floorPercent(floor)}% - 9px)` }}>
+                    <b>↑ {queue.up}</b><b>↓ {queue.down}</b>
+                  </span>
+                ) : null}
+              </div>
+            );
+          })}
+        </div>
+        <div id="shafts" className="shafts">
+          {CAR_ORDER.map((carId) => {
+            const car = snapshot.elevators.find((item) => item.id === carId);
+            if (!car) return null;
+            const arrow = car.direction > 0 ? "↑" : car.direction < 0 ? "↓" : "·";
+            return (
+              <div key={carId} className={`shaft ${car.bank}`} data-id={carId}>
+                <div
+                  className={`car ${car.bank} ${car.load >= car.capacity ? "full" : ""} ${car.door_open ? "door-open" : ""}`}
+                  data-car-id={car.id}
+                  data-floor={String(car.floor)}
+                  data-load={String(car.load)}
+                  data-capacity={String(car.capacity)}
+                  data-phase={String(car.phase)}
+                  style={{ bottom: `calc(${floorPercent(car.floor)}% - 16px)` }}
+                  title={`${car.id}: floor ${car.floor}, ${car.phase}, route ${car.stops.join(", ") || "none"}`}
+                >
+                  <strong>{car.id} {arrow}</strong>
+                  <span>{car.load}/{car.capacity}</span>
+                </div>
+              </div>
+            );
+          })}
+        </div>
+        <svg id="assignment-overlay" className="assignment-overlay" viewBox="0 0 1000 720" preserveAspectRatio="none" aria-label="Active assignment links">
+          {assignmentCalls.map((call, index) => {
+            const carIndex = Math.max(0, CAR_ORDER.indexOf(call.assigned ?? ""));
+            const y = 690 - floorPercent(call.floor) * 6.5;
+            const x2 = 330 + carIndex * 100;
+            return (
+              <line
+                key={`${call.floor}-${call.direction}-${call.bank}-${index}`}
+                x1="210"
+                y1={y}
+                x2={x2}
+                y2={y}
+                className={call.bank === "low" ? "link-low" : "link-high"}
+              />
+            );
+          })}
+        </svg>
+      </div>
+    </section>
+  );
+}
diff --git a/frontend/src/features/live-operations/LiveControls.tsx b/frontend/src/features/live-operations/LiveControls.tsx
new file mode 100644
index 0000000..b1d1bb4
--- /dev/null
+++ b/frontend/src/features/live-operations/LiveControls.tsx
@@ -0,0 +1,59 @@
+import type { PolicyName, ScenarioName, Snapshot } from "../../contracts/api";
+
+
+interface LiveControlsProps {
+  snapshot: Snapshot;
+  disabled?: boolean;
+  onControl: (payload: Record<string, unknown>) => Promise<void>;
+}
+
+export function LiveControls({ snapshot, disabled = false, onControl }: LiveControlsProps) {
+  async function update(selectors: Partial<{ scenario: ScenarioName; policy: PolicyName; control_mode: string; speed: number }>) {
+    await onControl({ action: "update", ...selectors });
+  }
+
+  return (
+    <div className="live-controls" aria-label="Simulation controls">
+      <label>
+        Scenario
+        <select id="scenario" disabled={disabled} value={snapshot.scenario} onChange={(event) => update({ scenario: event.target.value as ScenarioName })}>
+          <option value="morning">Morning</option>
+          <option value="lunch">Lunch</option>
+          <option value="normal">Normal</option>
+          <option value="evening">Evening</option>
+          <option value="shock">Shock</option>
+          <option value="mixed_day">Mixed day</option>
+        </select>
+      </label>
+      <label>
+        Policy
+        <select id="policy" disabled={disabled} value={snapshot.policy} onChange={(event) => update({ policy: event.target.value as PolicyName })}>
+          <option value="legacy_sticky">Legacy sticky</option>
+          <option value="nearest_car">Nearest car</option>
+          <option value="collective">Collective</option>
+          <option value="queue_aware">Queue-aware</option>
+          <option value="capr">CAPR</option>
+        </select>
+      </label>
+      <label>
+        Control
+        <select id="control-mode" disabled={disabled} value={snapshot.simulation_config.control_mode} onChange={(event) => update({ control_mode: event.target.value })}>
+          <option value="conventional">Conventional</option>
+          <option value="destination">Destination</option>
+        </select>
+      </label>
+      <label>
+        Speed
+        <select id="speed" disabled={disabled} value={String(snapshot.speed)} onChange={(event) => update({ speed: Number(event.target.value) })}>
+          {[1, 5, 20, 60, 120].map((speed) => <option key={speed} value={speed}>{speed}×</option>)}
+        </select>
+      </label>
+      <button id="pause" className="secondary-button" disabled={disabled} type="button" onClick={() => onControl({ action: snapshot.running ? "pause" : "start" })}>
+        {snapshot.running ? "Pause" : "Resume"}
+      </button>
+      <button id="reset" className="secondary-button" disabled={disabled} type="button" onClick={() => onControl({ action: "reset" })}>
+        Reset run
+      </button>
+    </div>
+  );
+}
diff --git a/frontend/src/features/live-operations/LiveOperations.tsx b/frontend/src/features/live-operations/LiveOperations.tsx
new file mode 100644
index 0000000..1d30656
--- /dev/null
+++ b/frontend/src/features/live-operations/LiveOperations.tsx
@@ -0,0 +1,147 @@
+import { useMemo, useState } from "react";
+import { ChartRenderer } from "../../components/charts/ChartRenderer";
+import { MetricCard } from "../../components/common/MetricCard";
+import type { ReplayPayload, SimulationEvent, Snapshot } from "../../contracts/api";
+import type { ChartSpec } from "../../contracts/chartSpec";
+import { DigitalTwin } from "./DigitalTwin";
+
+
+interface LiveOperationsProps {
+  liveSnapshot: Snapshot;
+  onSaveReplay: () => Promise<ReplayPayload>;
+  onControl: (payload: Record<string, unknown>) => Promise<void>;
+}
+
+function fmtSeconds(value: number): string {
+  return `${Number(value || 0).toFixed(1)}s`;
+}
+
+function EventStream({ events }: { events: SimulationEvent[] }) {
+  const relevant = events.filter((event) => ["assign", "reassign", "assignment_invalidated", "full_pass"].includes(event.kind)).slice(-8).reverse();
+  return (
+    <section className="panel-card event-panel">
+      <header className="section-heading"><div><span>Decision ledger</span><strong>Recent dispatch events</strong></div></header>
+      <div id="event-stream" className="event-stream">
+        {relevant.length ? relevant.map((event) => (
+          <article key={event.sequence} className={`event event-${event.kind}`}>
+            <time>T+{event.sim_time.toFixed(1)}s</time>
+            <b>{event.kind.replaceAll("_", " ").toUpperCase()}</b>
+            <span>{event.floor ?? "—"}F · {event.elevator_id ?? "—"}</span>
+            {typeof event.details?.reason === "string" ? <small>{event.details.reason}</small> : null}
+          </article>
+        )) : <span className="muted">No dispatch events yet.</span>}
+      </div>
+    </section>
+  );
+}
+
+function ActiveCalls({ snapshot }: { snapshot: Snapshot }) {
+  const calls = [...snapshot.calls].sort((a, b) => b.wait - a.wait).slice(0, 12);
+  return (
+    <section className="panel-card calls-panel">
+      <header className="section-heading"><div><span>Hall calls</span><strong>Active demand</strong></div><span>{snapshot.calls.length} calls</span></header>
+      <div id="calls" className="call-list">
+        {calls.length ? calls.map((call, index) => (
+          <article key={`${call.floor}-${call.direction}-${call.destination}-${index}`} className="call" data-floor={call.floor} data-assigned={call.assigned ?? ""}>
+            <strong>{call.floor}F {call.direction > 0 ? "↑" : "↓"}{call.destination ? ` → ${call.destination}F` : ""}</strong>
+            <span>{call.assigned ?? "unassigned"}{call.assigned_score === null ? "" : ` · ${call.assigned_score.toFixed(1)}`}</span>
+            <b className="wait">{call.wait.toFixed(0)}s</b>
+            {call.missed ? <small className="warning-text">miss {call.missed}</small> : null}
+          </article>
+        )) : <span className="muted">No active hall calls.</span>}
+      </div>
+    </section>
+  );
+}
+
+export function LiveOperations({ liveSnapshot, onSaveReplay, onControl }: LiveOperationsProps) {
+  const [replay, setReplay] = useState<ReplayPayload | null>(null);
+  const [replayMode, setReplayMode] = useState(false);
+  const [replayIndex, setReplayIndex] = useState(0);
+  const visibleSnapshot = replayMode && replay?.frames.length ? replay.frames[Math.min(replayIndex, replay.frames.length - 1)] : liveSnapshot;
+  const replayHistory = replayMode && replay ? replay.frames.slice(0, replayIndex + 1).filter((frame) => frame.sim_time % 15 === 0).map((frame) => ({
+    sim_time: frame.sim_time,
+    avg_wait: frame.metrics.avg_wait,
+    p95_wait: frame.metrics.p95_wait,
+    avg_queue: frame.metrics.avg_queue,
+  })) : visibleSnapshot.history;
+  const waitSpec = useMemo<ChartSpec>(() => ({
+    type: "timeSeries",
+    title: "Wait trend",
+    source: replayMode ? "saved replay frames" : "/api/snapshot history",
+    x: "sim_time",
+    y: ["avg_wait", "p95_wait"],
+  }), [replayMode]);
+  const heatmapSpec: ChartSpec = {
+    type: "floorHeatmap",
+    title: "Floor queue heatmap",
+    source: "/api/snapshot queues",
+    metric: "current_queue",
+  };
+
+  async function saveReplay() {
+    const saved = await onSaveReplay();
+    setReplay(saved);
+    setReplayIndex(Math.max(0, saved.frames.length - 1));
+  }
+
+  return (
+    <div className="live-workbench">
+      <div className="live-status-row">
+        <div id="live-state" className={`live-state ${replayMode ? "replay" : liveSnapshot.running ? "live" : "paused"}`}><span>{replayMode ? "REPLAY MODE" : liveSnapshot.running ? "LIVE SIMULATION" : "PAUSED"}</span></div>
+        <strong id="clock">{visibleSnapshot.clock}</strong>
+        <span id="elapsed">T+{Math.floor(visibleSnapshot.sim_time / 60).toString().padStart(2, "0")}:{(visibleSnapshot.sim_time % 60).toString().padStart(2, "0")}</span>
+      </div>
+      <div className="metric-grid">
+        <MetricCard label="Average wait" value={fmtSeconds(visibleSnapshot.metrics.avg_wait)} id="avg-wait" note="Passenger-level AWT" />
+        <MetricCard label="P95 wait" value={fmtSeconds(visibleSnapshot.metrics.p95_wait)} id="p95-wait" note="Tail wait" />
+        <MetricCard label="Waiting" value={String(visibleSnapshot.metrics.current_queue)} id="queue" note={`Lq avg ${visibleSnapshot.metrics.avg_queue.toFixed(2)}`} tone={visibleSnapshot.metrics.current_queue > 20 ? "warning" : "default"} />
+        <MetricCard label="Capacity misses" value={String(visibleSnapshot.metrics.missed_capacity)} id="misses" note={`${visibleSnapshot.metrics.reassignments} predictive reassignments`} />
+        <MetricCard label="Throughput" value={`${visibleSnapshot.metrics.served} served`} id="served" note={`${visibleSnapshot.metrics.arrivals} arrivals`} />
+      </div>
+      <div className="live-grid">
+        <DigitalTwin snapshot={visibleSnapshot} />
+        <div className="live-side-stack">
+          <ActiveCalls snapshot={visibleSnapshot} />
+          <EventStream events={visibleSnapshot.event_tail} />
+        </div>
+      </div>
+      <div className="analytics-grid">
+        <ChartRenderer spec={waitSpec} data={replayHistory} />
+        <ChartRenderer spec={heatmapSpec} data={visibleSnapshot} />
+        <section className="panel-card diagnostics-panel">
+          <header className="section-heading"><div><span>Queueing diagnostic</span><strong>Little's Law check</strong></div></header>
+          <dl className="diagnostic-list">
+            <div><dt>Observed Lq</dt><dd id="lq-observed">{visibleSnapshot.metrics.avg_queue.toFixed(2)}</dd></div>
+            <div><dt>λWq</dt><dd id="lq-derived">{visibleSnapshot.metrics.little_law_lq.toFixed(2)}</dd></div>
+            <div><dt>Arrival rate</dt><dd id="arrival-rate">{visibleSnapshot.metrics.arrival_rate_per_min.toFixed(1)}/min</dd></div>
+          </dl>
+        </section>
+      </div>
+      <section className="panel-card replay-panel">
+        <header className="section-heading"><div><span>Deterministic replay</span><strong>Inspect the same saved state</strong></div><span id="replay-status">{replay?.source === "saved_run" ? "saved run" : "not saved"}</span></header>
+        <div className="replay-controls">
+          <button id="save-replay" className="secondary-button" type="button" onClick={saveReplay}>Save replay</button>
+          <button id="enter-replay" className="secondary-button" type="button" disabled={!replay} onClick={() => { setReplayMode(true); setReplayIndex(0); }}>Enter replay</button>
+          <button id="return-live" className="secondary-button" type="button" disabled={!replayMode} onClick={() => setReplayMode(false)}>Return live</button>
+          <input
+            id="replay-slider"
+            aria-label="Replay frame"
+            type="range"
+            min="0"
+            max={Math.max(0, (replay?.frames.length ?? 1) - 1)}
+            value={replayIndex}
+            disabled={!replayMode || !replay}
+            onInput={(event) => setReplayIndex(Number(event.currentTarget.value))}
+            onChange={(event) => setReplayIndex(Number(event.currentTarget.value))}
+          />
+          <span id="replay-frame">{replay ? `Frame ${replayIndex + 1} / ${replay.frames.length}` : "Frame —"}</span>
+        </div>
+      </section>
+      <div id="queue-trend-chart" className="sr-only" aria-hidden="true"><span id="queue-trend-value">{Number(replayHistory.at(-1)?.avg_queue ?? 0).toFixed(2)}</span></div>
+      <span id="reassignments" className="sr-only">{visibleSnapshot.metrics.reassignments} predictive reassignments</span>
+      <span id="avg-queue" className="sr-only">Lq avg {visibleSnapshot.metrics.avg_queue.toFixed(2)}</span>
+      {replayMode ? null : <span className="sr-only"><button type="button" onClick={() => onControl({ action: "step" })}>Step simulation</button></span>}
+    </div>
+  );
+}
diff --git a/frontend/src/features/models/ModelsWorkbench.tsx b/frontend/src/features/models/ModelsWorkbench.tsx
new file mode 100644
index 0000000..2d1b15e
--- /dev/null
+++ b/frontend/src/features/models/ModelsWorkbench.tsx
@@ -0,0 +1,50 @@
+import { DataPill } from "../../components/common/DataPill";
+import type { ModelsPayload } from "../../contracts/api";
+
+
+export function ModelsWorkbench({ payload }: { payload: ModelsPayload }) {
+  const model = payload.model;
+  const evaluation = payload.evaluation;
+  const metadata = model.metadata ?? {};
+  const verdict = evaluation.verdict ?? {};
+  const headline = Array.isArray(evaluation.headline) ? evaluation.headline : [];
+  return (
+    <div className="analysis-workbench models-workbench" data-testid="models-workbench">
+      <section className="negative-result-card">
+        <span>M5 held-out verdict</span>
+        <strong>Learned-controller superiority was not established.</strong>
+        <p>{String(verdict.interpretation ?? "Held-out evidence does not support a general superiority claim.")}</p>
+        <div className="pill-row"><DataPill label="negative / mixed result" tone="warning" /><DataPill label="not hidden" tone="evidence" /></div>
+      </section>
+      <section className="evidence-detail-grid">
+        <article><span>Architecture</span><strong>{String(model.architecture ?? "—")}</strong></article>
+        <article><span>Observation space</span><strong>{String(model.observation_size ?? "—")} values</strong></article>
+        <article><span>Actions</span><strong>{Array.isArray(model.actions) ? model.actions.length : 0}</strong></article>
+        <article><span>Training seed</span><strong>{String(metadata.training_seed ?? "—")}</strong></article>
+      </section>
+      <div className="chart-grid-two">
+        <section className="panel-card">
+          <header className="section-heading"><div><span>Training contract</span><strong>Reproducible checkpoint provenance</strong></div></header>
+          <dl className="diagnostic-list">
+            <div><dt>Algorithm</dt><dd>{String(metadata.algorithm ?? model.architecture)}</dd></div>
+            <div><dt>Epochs</dt><dd>{String(metadata.epochs ?? "—")}</dd></div>
+            <div><dt>Episodes</dt><dd>{String(metadata.episodes ?? "—")}</dd></div>
+            <div><dt>Gradient steps</dt><dd>{String(metadata.gradient_steps ?? "—")}</dd></div>
+            <div><dt>Training scenarios</dt><dd>{Array.isArray(metadata.training_scenarios) ? metadata.training_scenarios.join(", ") : "—"}</dd></div>
+            <div><dt>Held-out scenarios</dt><dd>{Array.isArray(metadata.held_out_scenarios) ? metadata.held_out_scenarios.join(", ") : "—"}</dd></div>
+          </dl>
+        </section>
+        <section className="panel-card">
+          <header className="section-heading"><div><span>Action contract</span><strong>Discrete dispatch decisions</strong></div></header>
+          <div className="action-chip-list">{Array.isArray(model.actions) ? model.actions.map((action: unknown) => <span key={String(action)}>{String(action)}</span>) : null}</div>
+          <p className="evidence-note">The learned policy runs through the same simulator assignment/reassignment invariants. Newer model architecture is not presented as automatically better.</p>
+        </section>
+      </div>
+      <section className="panel-card">
+        <header className="section-heading"><div><span>Held-out performance</span><strong>Collective · CAPR · RL</strong></div></header>
+        <div className="compact-table-wrap"><table className="compact-table"><caption>M5 scenario evidence</caption><thead><tr><th>Scenario</th><th>Policy</th><th>AWT</th><th>P95</th><th>Worst floor</th><th>Energy</th><th>Guardrail</th></tr></thead><tbody>{headline.map((row: any, index: number) => <tr key={`${row.scenario}-${row.policy}-${index}`}><td>{row.scenario}</td><td>{row.policy}</td><td>{Number(row.avg_wait).toFixed(2)}</td><td>{Number(row.p95_wait).toFixed(2)}</td><td>{Number(row.worst_floor_mean_wait).toFixed(2)}</td><td>{Number(row.energy_proxy).toFixed(1)}</td><td>{row.guardrail}</td></tr>)}</tbody></table></div>
+      </section>
+      <section className="panel-card"><header className="section-heading"><div><span>Model artifact provenance</span><strong>{payload.source.model}</strong></div></header><pre className="json-preview">{JSON.stringify({ schema: model.schema, training_contract: evaluation.training_contract, held_out_contract: evaluation.held_out_contract, verdict }, null, 2)}</pre></section>
+    </div>
+  );
+}
diff --git a/frontend/src/features/runs/RunsWorkbench.tsx b/frontend/src/features/runs/RunsWorkbench.tsx
new file mode 100644
index 0000000..031de85
--- /dev/null
+++ b/frontend/src/features/runs/RunsWorkbench.tsx
@@ -0,0 +1,25 @@
+import { DataPill } from "../../components/common/DataPill";
+import type { ArtifactCatalogPayload, RunArtifact } from "../../contracts/api";
+
+
+export function RunsWorkbench({ run, artifacts }: { run: RunArtifact; artifacts: ArtifactCatalogPayload }) {
+  return (
+    <div className="analysis-workbench runs-workbench" data-testid="runs-workbench">
+      <section className="run-hero-card">
+        <div><span>SimulationRunArtifact</span><strong>{run.run_id}</strong><small>{run.schema_version} · artifact {run.artifact_version}</small></div>
+        <div className="pill-row"><DataPill label="scenario" value={run.scenario} /><DataPill label="policy" value={run.policy.toUpperCase()} tone="evidence" /><DataPill label="seed" value={run.seed} /></div>
+      </section>
+      <section className="evidence-detail-grid">
+        <article><span>Simulation time</span><strong>{run.sim_time}s</strong></article>
+        <article><span>Average wait</span><strong>{run.metrics.avg_wait.toFixed(2)}s</strong></article>
+        <article><span>P95 wait</span><strong>{run.metrics.p95_wait.toFixed(2)}s</strong></article>
+        <article><span>Trace identity</span><strong className="hash-text">{String(run.provenance.trace_identity_sha256 ?? "—").slice(0, 16)}…</strong></article>
+      </section>
+      <div className="chart-grid-two">
+        <section className="panel-card"><header className="section-heading"><div><span>Trace manifest</span><strong>Canonical reproducibility package</strong></div></header><pre className="json-preview">{JSON.stringify(run.trace_manifest, null, 2)}</pre></section>
+        <section className="panel-card"><header className="section-heading"><div><span>Run provenance</span><strong>Evidence lineage</strong></div></header><pre className="json-preview">{JSON.stringify(run.provenance, null, 2)}</pre></section>
+      </div>
+      <section className="panel-card"><header className="section-heading"><div><span>Artifact catalog</span><strong>Versioned evidence references</strong></div></header><div className="compact-table-wrap"><table className="compact-table"><caption>Run and committed evidence artifacts</caption><thead><tr><th>Type</th><th>Schema</th><th>Source</th><th>SHA-256</th></tr></thead><tbody>{artifacts.artifacts.map((artifact) => <tr key={artifact.artifact_id}><td>{artifact.artifact_type}</td><td>{artifact.schema_version}</td><td>{artifact.source}</td><td className="hash-text">{artifact.sha256?.slice(0, 16) ?? "live"}</td></tr>)}</tbody></table></div></section>
+    </div>
+  );
+}
diff --git a/frontend/src/features/theory/TheoryWorkbench.tsx b/frontend/src/features/theory/TheoryWorkbench.tsx
new file mode 100644
index 0000000..c2a9b34
--- /dev/null
+++ b/frontend/src/features/theory/TheoryWorkbench.tsx
@@ -0,0 +1,85 @@
+import { DataPill } from "../../components/common/DataPill";
+import type { TheoryPayload } from "../../contracts/api";
+
+
+function scale(value: number, min: number, max: number, start: number, end: number): number {
+  if (max === min) return (start + end) / 2;
+  return start + ((value - min) / (max - min)) * (end - start);
+}
+
+export function TheoryWorkbench({ payload }: { payload: TheoryPayload }) {
+  const discovery = payload.discovery as any;
+  const validation = payload.validation as any;
+  const theory = discovery.theory;
+  const result = validation.result;
+  const threshold = Number(validation.frozen_discovery_threshold?.threshold ?? theory.best_single_threshold.threshold);
+  const cells = [
+    ...discovery.cells.map((cell: any) => ({ ...cell, kind: "discovery" })),
+    ...validation.cells.map((cell: any) => ({ ...cell, kind: "validation" })),
+  ];
+  const xs = cells.map((cell: any) => Number(cell.demand.bidirectional_load_rate));
+  const ys = cells.map((cell: any) => Number(cell.capr_vs_static.metrics.avg_wait.delta_mean));
+  const minX = Math.min(...xs);
+  const maxX = Math.max(...xs);
+  const minY = Math.min(...ys);
+  const maxY = Math.max(...ys);
+  const gated = result.gated_policy_projection;
+
+  return (
+    <div className="analysis-workbench theory-workbench" data-testid="theory-workbench">
+      <section id="theory-takeaway" className="theory-takeaway">
+        <span>Counterflow Criticality · M7</span>
+        <div className="theory-takeaway-copy">
+          <strong>Congestion alone is not the trigger.</strong>
+          <p>Continuous predictive reassignment becomes valuable when traffic intensity and counterflow rise together.</p>
+          <small>This is a synthetic-system empirical rule with a fuzzy threshold, not a universal theorem.</small>
+        </div>
+      </section>
+      <section id="theory-leaders" className="evidence-detail-grid theory-leaders">
+        <article className="theory-leader"><span>Candidate load index</span><strong>B = λ × 4p↑(1-p↑)</strong></article>
+        <article className="theory-leader"><span>Frozen threshold</span><strong>B ≥ {threshold.toFixed(2)}</strong></article>
+        <article className="theory-leader"><span>Held-out accuracy</span><strong>{(Number(result.accuracy) * 100).toFixed(1)}%</strong></article>
+        <article className="theory-leader"><span>Held-out effect correlation</span><strong>{Number(result.frozen_linear_effect_model.correlation_observed_vs_predicted).toFixed(3)}</strong></article>
+      </section>
+      <div className="chart-grid-two">
+        <article className="chart-frame">
+          <header><strong>Discovery + held-out validation</strong><span>committed M7 evidence</span></header>
+          <div className="chart-canvas">
+            <svg id="theory-scatter" className="semantic-chart" viewBox="0 0 640 300" role="img" aria-label="Counterflow criticality effect scatter">
+              <line x1="52" x2="616" y1={scale(0, minY, maxY, 260, 30)} y2={scale(0, minY, maxY, 260, 30)} className="chart-axis" />
+              <line x1={scale(threshold, minX, maxX, 52, 616)} x2={scale(threshold, minX, maxX, 52, 616)} y1="26" y2="262" className="threshold-line" />
+              {cells.map((cell: any, index: number) => (
+                <circle
+                  key={`${cell.kind}-${index}`}
+                  data-kind={cell.kind}
+                  cx={scale(Number(cell.demand.bidirectional_load_rate), minX, maxX, 52, 616)}
+                  cy={scale(Number(cell.capr_vs_static.metrics.avg_wait.delta_mean), minY, maxY, 260, 30)}
+                  r={cell.kind === "validation" ? 5 : 4}
+                  className={cell.kind === "validation" ? "theory-point validation" : "theory-point discovery"}
+                />
+              ))}
+              <text x="245" y="292">B · bidirectional load rate</text>
+            </svg>
+          </div>
+        </article>
+        <section className="panel-card theory-evidence-panel">
+          <header className="section-heading"><div><span>Falsification result</span><strong>Frozen discovery rule on held-out grid</strong></div></header>
+          <dl className="diagnostic-list">
+            <div><dt>Precision</dt><dd>{Number(result.precision).toFixed(2)}</dd></div>
+            <div><dt>Recall</dt><dd>{Number(result.recall).toFixed(2)}</dd></div>
+            <div><dt>Effect MAE</dt><dd>{Number(result.frozen_linear_effect_model.mae_seconds).toFixed(3)}s</dd></div>
+            <div><dt>Effect RMSE</dt><dd>{Number(result.frozen_linear_effect_model.rmse_seconds).toFixed(3)}s</dd></div>
+            <div><dt>Energy overhead reduction</dt><dd>{(Number(gated.energy_overhead_reduction_vs_always_on_capr) * 100).toFixed(1)}%</dd></div>
+            <div><dt>Wait gain retained</dt><dd>{(Number(gated.wait_gain_retained_vs_always_on_capr) * 100).toFixed(1)}%</dd></div>
+          </dl>
+          <div id="theory-rule" className="theory-rule"><strong>Fit slope {Number(theory.linear_wait_delta_fit.slope_seconds_per_bidirectional_pax_per_min).toFixed(3)} s per B-unit</strong><span>Discovery r² {Number(theory.linear_wait_delta_fit.r_squared).toFixed(3)}</span></div>
+          <p id="theory-caveat" className="evidence-note">The held-out accuracy is {Number(result.accuracy).toFixed(3)}, with false positives and a fuzzy phase transition. The threshold is useful as a falsifiable operating hypothesis, not a hard physical law.</p>
+        </section>
+      </div>
+      <section id="canonical-theory-row" className="canonical-theory-row">
+        {theory.phase_bins.map((phase: any, index: number) => <article key={index}><span>B phase {phase.lower}–{phase.upper ?? "∞"}</span><strong>{Number(phase.mean_avg_wait_delta_seconds).toFixed(2)}s Δ AWT</strong><small>{phase.clean_gain_cells}/{phase.cells} clean gain cells · energy ×{Number(phase.mean_energy_ratio).toFixed(3)}</small></article>)}
+      </section>
+      <div className="pill-row"><DataPill label={`discovery ${theory.cell_count} cells`} tone="evidence" /><DataPill label={`held-out ${result.total_cells} cells`} tone="evidence" /><DataPill label="threshold frozen before validation" tone="evidence" /></div>
+    </div>
+  );
+}
diff --git a/frontend/src/main.tsx b/frontend/src/main.tsx
new file mode 100644
index 0000000..bb61dc0
--- /dev/null
+++ b/frontend/src/main.tsx
@@ -0,0 +1,13 @@
+import { StrictMode } from "react";
+import { createRoot } from "react-dom/client";
+import "@xyflow/react/dist/style.css";
+import App from "./App";
+import "./styles/tokens.css";
+import "./styles/app.css";
+
+
+createRoot(document.getElementById("root")!).render(
+  <StrictMode>
+    <App />
+  </StrictMode>,
+);
diff --git a/frontend/src/styles/app.css b/frontend/src/styles/app.css
new file mode 100644
index 0000000..1cafd8a
--- /dev/null
+++ b/frontend/src/styles/app.css
@@ -0,0 +1,167 @@
+* { box-sizing: border-box; }
+html, body, #root { min-height: 100%; margin: 0; }
+body { background: var(--surface-0); color: var(--text-1); font-family: var(--font-sans); font-size: 13px; }
+button, select, input { font: inherit; }
+button, select, input { outline: none; }
+button:focus-visible, select:focus-visible, input:focus-visible, summary:focus-visible { box-shadow: 0 0 0 2px var(--focus); }
+button { color: inherit; }
+.sr-only { position: absolute !important; width: 1px !important; height: 1px !important; padding: 0 !important; margin: -1px !important; overflow: hidden !important; clip: rect(0, 0, 0, 0) !important; white-space: nowrap !important; border: 0 !important; }
+.muted { color: var(--text-3); }
+.warning-text { color: var(--warning); }
+.hash-text { font-family: var(--font-mono); font-size: 11px; }
+.boot-state { min-height: 100vh; display: grid; place-items: center; padding: 32px; }
+
+.product-shell { min-height: 100vh; display: grid; grid-template-columns: var(--rail-width) minmax(0, 1fr); grid-template-rows: var(--header-height) minmax(0, 1fr) var(--status-height); background: radial-gradient(circle at 54% -20%, rgba(85, 210, 201, 0.07), transparent 34%), var(--surface-0); }
+.global-header { grid-column: 1 / -1; display: flex; align-items: center; gap: 12px; padding: 0 16px; border-bottom: 1px solid var(--border-subtle); background: rgba(7, 16, 21, 0.94); position: sticky; top: 0; z-index: 40; backdrop-filter: blur(12px); }
+.brand-mark { width: 34px; height: 34px; border: 1px solid rgba(85, 210, 201, .38); border-radius: 8px; background: linear-gradient(145deg, rgba(85,210,201,.16), rgba(156,146,244,.09)); color: var(--accent); font: 700 11px/1 var(--font-mono); letter-spacing: .08em; cursor: pointer; }
+.brand-copy { display: flex; flex-direction: column; min-width: 190px; }
+.brand-copy strong { font-size: 13px; letter-spacing: .01em; }
+.brand-copy span { color: var(--text-3); font-size: 10px; margin-top: 2px; }
+.global-header-status { margin-left: auto; display: flex; gap: 7px; align-items: center; min-width: 0; overflow: hidden; }
+.product-rail { grid-row: 2; display: flex; flex-direction: column; gap: 5px; padding: 10px 8px; border-right: 1px solid var(--border-subtle); background: var(--surface-1); position: sticky; top: var(--header-height); height: calc(100vh - var(--header-height) - var(--status-height)); z-index: 20; }
+.rail-button { min-height: 57px; border: 1px solid transparent; border-radius: 8px; background: transparent; color: var(--text-3); display: flex; flex-direction: column; align-items: center; justify-content: center; gap: 4px; cursor: pointer; transition: .15s ease; }
+.rail-button > span { font: 700 11px/1 var(--font-mono); }
+.rail-button small { max-width: 60px; overflow: hidden; white-space: nowrap; text-overflow: ellipsis; font-size: 9px; }
+.rail-button:hover { color: var(--text-1); background: var(--surface-2); border-color: var(--border-subtle); }
+.rail-button.is-active { color: var(--accent); background: var(--accent-dim); border-color: rgba(85, 210, 201, .24); }
+.resource-surface { grid-column: 2; grid-row: 2; min-width: 0; display: flex; flex-direction: column; }
+.resource-header { min-height: 84px; display: flex; align-items: center; justify-content: space-between; gap: 20px; padding: 15px 20px; border-bottom: 1px solid var(--border-subtle); background: linear-gradient(180deg, rgba(17,35,45,.54), rgba(10,21,28,.42)); }
+.resource-header h1 { margin: 3px 0 0; font-size: 19px; font-weight: 650; letter-spacing: -.01em; }
+.resource-header p { margin: 5px 0 0; color: var(--text-2); max-width: 820px; line-height: 1.4; }
+.resource-eyebrow { color: var(--accent); font: 650 9px/1 var(--font-mono); text-transform: uppercase; letter-spacing: .12em; }
+.workbench-toolbar { padding: 8px 20px; border-bottom: 1px solid var(--border-subtle); background: rgba(10, 21, 28, .78); }
+.workbench-layout { min-height: 0; display: grid; grid-template-columns: minmax(0, 1fr); flex: 1; }
+.workbench-layout.has-inspector { grid-template-columns: minmax(0, 1fr) minmax(270px, 330px); }
+.workbench-main { min-width: 0; padding: 16px; overflow: auto; }
+.inspector-pane { border-left: 1px solid var(--border-subtle); background: var(--surface-1); min-width: 0; overflow: auto; }
+.status-bar { grid-column: 1 / -1; grid-row: 3; display: flex; align-items: center; gap: 18px; padding: 0 12px; color: var(--text-3); font: 10px/1 var(--font-mono); border-top: 1px solid var(--border-subtle); background: #050c10; overflow: hidden; white-space: nowrap; }
+.status-bar span:last-child { margin-left: auto; }
+
+.data-pill { display: inline-flex; align-items: center; gap: 6px; min-height: 24px; padding: 3px 7px; border: 1px solid var(--border-subtle); border-radius: 999px; background: rgba(255,255,255,.025); color: var(--text-2); white-space: nowrap; font-size: 10px; }
+.data-pill strong { color: var(--text-1); font: 650 10px/1 var(--font-mono); }
+.data-pill-live { color: var(--positive); border-color: rgba(121,214,151,.25); background: rgba(121,214,151,.08); }
+.data-pill-warning { color: var(--warning); border-color: rgba(240,182,108,.25); background: var(--warning-dim); }
+.data-pill-evidence { color: var(--evidence); border-color: rgba(123,183,255,.22); background: rgba(123,183,255,.07); }
+.primary-button, .secondary-button { border: 1px solid var(--border-strong); border-radius: 6px; min-height: 30px; padding: 5px 10px; cursor: pointer; transition: .15s ease; }
+.primary-button { background: var(--accent); color: #051113; border-color: var(--accent); font-weight: 700; }
+.secondary-button { background: var(--surface-2); color: var(--text-2); }
+.secondary-button:hover { color: var(--text-1); border-color: rgba(85,210,201,.38); }
+button:disabled { opacity: .42; cursor: not-allowed; }
+
+.live-controls { display: flex; gap: 8px; align-items: flex-end; flex-wrap: wrap; }
+.live-controls label, .analysis-control-strip label { display: flex; flex-direction: column; gap: 4px; color: var(--text-3); font-size: 9px; text-transform: uppercase; letter-spacing: .06em; }
+.live-controls select, .analysis-control-strip select { min-width: 128px; height: 30px; border: 1px solid var(--border-subtle); border-radius: 5px; background: var(--surface-2); color: var(--text-1); padding: 0 8px; text-transform: none; letter-spacing: 0; }
+.live-status-row { display: flex; align-items: center; gap: 12px; margin-bottom: 12px; color: var(--text-2); }
+.live-status-row > strong { font: 700 18px/1 var(--font-mono); color: var(--text-1); }
+.live-status-row > span:last-child { font-family: var(--font-mono); color: var(--text-3); }
+.live-state { display: inline-flex; align-items: center; min-height: 26px; padding: 0 9px; border-radius: 4px; border: 1px solid var(--border-subtle); font: 700 9px/1 var(--font-mono); letter-spacing: .08em; }
+.live-state.live { color: var(--positive); border-color: rgba(121,214,151,.28); background: rgba(121,214,151,.08); }
+.live-state.paused { color: var(--warning); background: var(--warning-dim); }
+.live-state.replay { color: var(--evidence); background: rgba(123,183,255,.08); }
+.metric-grid { display: grid; grid-template-columns: repeat(5, minmax(120px, 1fr)); gap: 8px; margin-bottom: 12px; }
+.metric-card { min-height: 86px; padding: 12px; border: 1px solid var(--border-subtle); border-radius: var(--radius-md); background: linear-gradient(155deg, rgba(17,35,45,.88), rgba(10,21,28,.92)); display: flex; flex-direction: column; gap: 5px; }
+.metric-card > span { color: var(--text-3); font-size: 10px; }
+.metric-card > strong { font: 650 21px/1.15 var(--font-mono); }
+.metric-card small { color: var(--text-3); margin-top: auto; }
+.metric-card-warning { border-color: rgba(240,182,108,.3); }
+.live-grid { display: grid; grid-template-columns: minmax(560px, 1.9fr) minmax(250px, .8fr); gap: 12px; align-items: stretch; }
+.digital-twin-card, .panel-card, .chart-frame, .decision-trace-card, .ask-run-card, .run-hero-card, .negative-result-card, .theory-takeaway { border: 1px solid var(--border-subtle); border-radius: var(--radius-md); background: var(--surface-1); overflow: hidden; }
+.section-heading, .chart-frame > header { min-height: 48px; display: flex; align-items: center; justify-content: space-between; gap: 12px; padding: 10px 12px; border-bottom: 1px solid var(--border-subtle); }
+.section-heading > div, .chart-frame > header { min-width: 0; }
+.section-heading > div { display: flex; flex-direction: column; gap: 3px; }
+.section-heading span, .chart-frame > header span { color: var(--text-3); font-size: 10px; }
+.section-heading strong, .chart-frame > header strong { font-size: 12px; }
+.twin-legend { display: flex; gap: 12px; font-size: 10px; }
+.twin-legend span::before { content: ""; display: inline-block; width: 7px; height: 7px; border-radius: 50%; margin-right: 5px; }
+.legend-low::before { background: var(--bank-low); }.legend-high::before { background: var(--bank-high); }
+.building { position: relative; height: min(65vh, 720px); min-height: 520px; margin: 12px; overflow: hidden; border: 1px solid var(--border-subtle); background: linear-gradient(90deg, rgba(85,210,201,.025), transparent 49%, rgba(156,146,244,.025)), #071217; }
+.floor-labels { position: absolute; inset: 16px auto 16px 10px; width: 85px; z-index: 4; }
+.floor-labels > span { position: absolute; right: 0; color: var(--text-3); font: 9px/1 var(--font-mono); }
+.floors { position: absolute; inset: 16px 20px 16px 102px; z-index: 2; }
+.floor-line { position: absolute; left: 0; right: 0; height: 1px; background: rgba(159,192,207,.085); }
+.floor-line.lobby { background: rgba(85,210,201,.28); height: 2px; }
+.queue-badge { position: absolute; left: 2px; min-width: 58px; height: 18px; display: flex; gap: 5px; align-items: center; padding: 0 5px; border: 1px solid rgba(240,182,108,.25); border-radius: 3px; background: rgba(7,16,21,.91); color: var(--warning); font: 8px/1 var(--font-mono); z-index: 6; }
+.shafts { position: absolute; inset: 16px 20px 16px 220px; display: grid; grid-template-columns: repeat(6, 1fr); gap: 8px; z-index: 5; }
+.shaft { position: relative; border-left: 1px solid rgba(159,192,207,.1); border-right: 1px solid rgba(159,192,207,.05); }
+.shaft:nth-child(4) { margin-left: 14px; }
+.car { position: absolute; left: 6%; right: 6%; min-width: 48px; height: 31px; padding: 4px 5px; border: 1px solid; border-radius: 4px; display: flex; flex-direction: column; justify-content: center; align-items: center; gap: 2px; background: rgba(7,16,21,.96); font: 8px/1 var(--font-mono); transition: bottom .25s linear; }
+.car.low { border-color: rgba(85,210,201,.55); color: var(--bank-low); }.car.high { border-color: rgba(156,146,244,.6); color: var(--bank-high); }
+.car.full { box-shadow: inset 0 0 0 1px var(--warning); }.car.door-open { background: rgba(85,210,201,.11); }
+.assignment-overlay { position: absolute; inset: 16px 20px 16px 0; width: calc(100% - 20px); height: calc(100% - 32px); pointer-events: none; z-index: 3; }
+.assignment-overlay line { stroke-width: 1.4; vector-effect: non-scaling-stroke; stroke-dasharray: 4 4; opacity: .52; }.link-low { stroke: var(--bank-low); }.link-high { stroke: var(--bank-high); }
+.live-side-stack { display: grid; grid-template-rows: 1fr 1fr; gap: 12px; min-height: 0; }
+.calls-panel, .event-panel { min-height: 0; display: flex; flex-direction: column; }
+.call-list, .event-stream { overflow: auto; padding: 8px; display: flex; flex-direction: column; gap: 6px; }
+.call { display: grid; grid-template-columns: minmax(90px, 1fr) auto auto; gap: 6px 10px; padding: 8px; border: 1px solid var(--border-subtle); border-radius: 5px; background: rgba(255,255,255,.015); }
+.call > span { color: var(--text-2); font-size: 10px; }.call .wait { color: var(--warning); font-family: var(--font-mono); }
+.event { display: grid; grid-template-columns: 68px 82px 1fr; gap: 4px 8px; padding: 7px; border-left: 2px solid var(--border-strong); background: rgba(255,255,255,.015); }
+.event time { color: var(--text-3); font: 9px/1.3 var(--font-mono); }.event b { font-size: 9px; }.event span { color: var(--text-2); font-size: 9px; }.event small { grid-column: 2 / -1; color: var(--text-3); line-height: 1.3; }
+.event-reassign, .event-assignment_invalidated { border-left-color: var(--warning); }.event-full_pass { border-left-color: var(--negative); }
+.analytics-grid { display: grid; grid-template-columns: 1.4fr 1fr .7fr; gap: 12px; margin-top: 12px; }
+.chart-canvas { padding: 10px; min-height: 190px; }.semantic-chart { width: 100%; height: auto; max-height: 300px; overflow: visible; }
+.chart-grid { stroke: rgba(159,192,207,.11); stroke-width: 1; }.chart-axis { stroke: rgba(159,192,207,.34); stroke-width: 1; }.threshold-line { stroke: var(--warning); stroke-width: 1; stroke-dasharray: 5 4; }
+.chart-line { fill: none; stroke-width: 2; vector-effect: non-scaling-stroke; }.chart-line-0 { stroke: var(--accent); }.chart-line-1 { stroke: var(--warning); }.chart-line-2 { stroke: var(--evidence); }
+.chart-legend { display: flex; gap: 12px; padding: 0 12px 10px; color: var(--text-3); font-size: 9px; }.legend-key::before { content: ""; display: inline-block; width: 14px; height: 2px; margin-right: 5px; vertical-align: middle; background: var(--accent); }.legend-key-1::before { background: var(--warning); }
+.floor-heatmap { display: grid; grid-template-columns: repeat(6, 1fr); gap: 5px; }.heat-cell { min-height: 42px; padding: 6px; border: 1px solid var(--border-subtle); border-radius: 4px; background: color-mix(in srgb, var(--warning) calc(var(--heat) * 32%), var(--surface-2)); display: flex; justify-content: space-between; align-items: center; }.heat-cell span { color: var(--text-3); font-size: 9px; }.heat-cell strong { font-family: var(--font-mono); }
+.diagnostic-list { margin: 0; padding: 10px 12px; display: flex; flex-direction: column; gap: 0; }.diagnostic-list > div { display: flex; align-items: baseline; justify-content: space-between; gap: 8px; padding: 8px 0; border-bottom: 1px solid var(--border-subtle); }.diagnostic-list dt { color: var(--text-3); }.diagnostic-list dd { margin: 0; font-family: var(--font-mono); color: var(--text-1); text-align: right; }
+.replay-panel { margin-top: 12px; }.replay-controls { padding: 10px 12px; display: flex; align-items: center; gap: 8px; flex-wrap: wrap; }.replay-controls input { flex: 1; min-width: 180px; accent-color: var(--accent); }.replay-controls > span { color: var(--text-3); font-family: var(--font-mono); }
+
+.inspector { min-height: 100%; }.inspector > header { padding: 14px; border-bottom: 1px solid var(--border-subtle); display: flex; flex-direction: column; gap: 4px; }.inspector > header > span { color: var(--accent); font: 650 9px/1 var(--font-mono); text-transform: uppercase; letter-spacing: .1em; }.inspector > header small { color: var(--text-3); }.inspector-body { padding: 12px; }.inspector-kv { display: grid; grid-template-columns: 80px 1fr; gap: 7px 10px; }.inspector-kv span { color: var(--text-3); }.decision-reason { margin: 14px 0; padding: 10px; border-left: 2px solid var(--accent); background: var(--accent-dim); line-height: 1.45; color: var(--text-2); }
+.compact-table-wrap { width: 100%; overflow: auto; }.compact-table { width: 100%; border-collapse: collapse; font-size: 10px; }.compact-table caption { text-align: left; color: var(--text-3); padding: 8px 0; }.compact-table th { position: sticky; top: 0; z-index: 2; background: var(--surface-2); color: var(--text-3); font-weight: 550; text-align: left; padding: 7px 8px; white-space: nowrap; }.compact-table td { padding: 7px 8px; border-bottom: 1px solid var(--border-subtle); white-space: nowrap; }.compact-table tr.chosen td { background: var(--accent-dim); color: var(--accent); }
+
+.analysis-workbench { display: flex; flex-direction: column; gap: 12px; }.analysis-control-strip { display: flex; align-items: end; gap: 8px; flex-wrap: wrap; padding: 10px; border: 1px solid var(--border-subtle); border-radius: var(--radius-md); background: var(--surface-1); }
+.policy-leaders { display: grid; grid-template-columns: repeat(3, 1fr); gap: 8px; }.policy-leader, .evidence-detail-grid > article, .canonical-theory-row > article { min-height: 76px; padding: 11px; border: 1px solid var(--border-subtle); border-radius: var(--radius-md); background: var(--surface-1); display: flex; flex-direction: column; gap: 5px; }.policy-leader.primary { border-color: rgba(85,210,201,.36); background: linear-gradient(145deg, rgba(85,210,201,.1), var(--surface-1)); }.policy-leader span, .evidence-detail-grid span, .canonical-theory-row span { color: var(--text-3); font-size: 9px; }.policy-leader strong, .evidence-detail-grid strong, .canonical-theory-row strong { font-size: 14px; }.policy-leader small, .evidence-detail-grid small, .canonical-theory-row small { color: var(--text-2); line-height: 1.35; }
+.comparison-cards { display: grid; grid-template-columns: repeat(5, minmax(140px, 1fr)); gap: 8px; }.comparison-card { min-width: 0; padding: 11px; border: 1px solid var(--border-subtle); border-radius: var(--radius-md); background: var(--surface-1); display: flex; flex-direction: column; gap: 5px; }.comparison-card > span:first-child { color: var(--text-2); }.comparison-card > strong { font: 650 19px/1 var(--font-mono); }.comparison-card small { color: var(--text-3); }
+.evidence-detail-grid { display: grid; grid-template-columns: repeat(4, 1fr); gap: 8px; }.chart-grid-two { display: grid; grid-template-columns: repeat(2, minmax(0, 1fr)); gap: 12px; }.bar-chart { display: flex; flex-direction: column; gap: 10px; padding: 5px; }.bar-row { display: grid; grid-template-columns: 94px 1fr 55px; gap: 8px; align-items: center; }.bar-row > span { color: var(--text-2); font-size: 9px; }.bar-track { height: 7px; border-radius: 99px; background: rgba(159,192,207,.09); overflow: hidden; }.bar-track > span { display: block; height: 100%; background: var(--accent); }.bar-row strong { text-align: right; font: 10px/1 var(--font-mono); }
+.distribution-chart text { fill: var(--text-3); font-size: 8px; }.distribution-dot { opacity: .68; }.distribution-dot-0 { fill: #82909a; }.distribution-dot-1 { fill: #65a8d1; }.distribution-dot-2 { fill: var(--bank-high); }.distribution-dot-3 { fill: var(--warning); }.distribution-dot-4 { fill: var(--accent); }
+.tradeoff-point { fill: var(--accent); stroke: var(--surface-0); stroke-width: 2; }.semantic-chart text { fill: var(--text-3); font-size: 9px; }
+.ci-chart { display: flex; flex-direction: column; padding: 2px 10px; }.ci-row { display: flex; justify-content: space-between; gap: 10px; padding: 10px 0; border-bottom: 1px solid var(--border-subtle); }.ci-row span { color: var(--text-2); }.ci-row strong { font-family: var(--font-mono); }
+.experiment-matrix { overflow: auto; }.matrix-row { display: grid; grid-template-columns: 90px repeat(5, minmax(65px, 1fr)); }.matrix-row > * { padding: 7px; border-right: 1px solid var(--border-subtle); border-bottom: 1px solid var(--border-subtle); }.matrix-row > span:not(:first-child) { background: color-mix(in srgb, var(--warning) calc(var(--heat) * 25%), transparent); font-family: var(--font-mono); }.matrix-head { color: var(--text-3); font-size: 8px; }.evidence-note { margin: 10px 12px 12px; color: var(--text-3); line-height: 1.5; }
+
+.theory-takeaway { padding: 18px; display: grid; grid-template-columns: 190px 1fr; gap: 22px; background: linear-gradient(120deg, rgba(85,210,201,.1), rgba(156,146,244,.06), var(--surface-1)); }.theory-takeaway > span { color: var(--accent); font: 650 10px/1.5 var(--font-mono); text-transform: uppercase; letter-spacing: .08em; }.theory-takeaway-copy strong { font-size: 22px; }.theory-takeaway-copy p { margin: 8px 0; font-size: 14px; color: var(--text-2); line-height: 1.5; }.theory-takeaway-copy small { color: var(--warning); }.theory-point.discovery { fill: var(--accent); opacity: .58; }.theory-point.validation { fill: var(--warning); stroke: #071015; stroke-width: 2; }.theory-rule { margin: 8px 12px; padding: 10px; border: 1px solid var(--border-subtle); background: rgba(255,255,255,.015); display: flex; flex-direction: column; gap: 4px; }.theory-rule span { color: var(--text-3); }.canonical-theory-row { display: grid; grid-template-columns: repeat(5, 1fr); gap: 8px; }.pill-row { display: flex; gap: 7px; flex-wrap: wrap; }
+.negative-result-card { padding: 18px; border-color: rgba(240,182,108,.28); background: linear-gradient(135deg, rgba(240,182,108,.1), var(--surface-1)); display: flex; flex-direction: column; gap: 7px; }.negative-result-card > span { color: var(--warning); font: 650 9px/1 var(--font-mono); text-transform: uppercase; }.negative-result-card > strong { font-size: 20px; }.negative-result-card p { color: var(--text-2); margin: 0; }.action-chip-list { padding: 12px; display: flex; gap: 6px; flex-wrap: wrap; }.action-chip-list span { padding: 6px 8px; border: 1px solid var(--border-subtle); border-radius: 4px; background: var(--surface-2); font-family: var(--font-mono); font-size: 10px; }
+.json-preview { max-height: 410px; overflow: auto; margin: 0; padding: 12px; background: #050c10; color: #a9c2cc; font: 10px/1.55 var(--font-mono); white-space: pre-wrap; word-break: break-word; }
+.run-hero-card { padding: 16px; display: flex; align-items: center; justify-content: space-between; gap: 14px; }.run-hero-card > div:first-child { display: flex; flex-direction: column; gap: 4px; }.run-hero-card span, .run-hero-card small { color: var(--text-3); }.run-hero-card strong { font: 650 16px/1.2 var(--font-mono); }
+
+.dispatch-workbench { display: grid; grid-template-columns: minmax(240px, .45fr) minmax(0, 1fr); gap: 12px; }.decision-list { max-height: 68vh; overflow: auto; padding: 8px; display: flex; flex-direction: column; gap: 5px; }.decision-list button { text-align: left; border: 1px solid var(--border-subtle); border-radius: 5px; background: var(--surface-2); padding: 8px; display: flex; flex-direction: column; gap: 4px; cursor: pointer; }.decision-list button.is-active { border-color: rgba(85,210,201,.4); background: var(--accent-dim); }.decision-list button span { color: var(--text-3); font-size: 9px; }.decision-analysis-pane { min-width: 0; }
+
+.explorer-workbench { display: flex; flex-direction: column; gap: 12px; }.object-explorer-grid { min-height: 430px; display: grid; grid-template-columns: 190px minmax(220px, .7fr) minmax(280px, 1.3fr); border: 1px solid var(--border-subtle); border-radius: var(--radius-md); overflow: hidden; background: var(--surface-1); }.object-type-list, .object-list-pane, .object-detail-inspector { min-width: 0; min-height: 0; }.object-type-list { border-right: 1px solid var(--border-subtle); padding: 7px; display: flex; flex-direction: column; gap: 3px; overflow: auto; }.object-type-list header { display: flex; justify-content: space-between; padding: 8px; color: var(--text-3); }.object-type-list button { min-height: 32px; display: flex; justify-content: space-between; align-items: center; border: 1px solid transparent; border-radius: 4px; background: transparent; color: var(--text-2); padding: 0 8px; cursor: pointer; text-align: left; }.object-type-list button small { color: var(--text-3); font-family: var(--font-mono); }.object-type-list button.is-active { background: var(--accent-dim); color: var(--accent); border-color: rgba(85,210,201,.2); }.object-list-pane { border-right: 1px solid var(--border-subtle); display: flex; flex-direction: column; }.object-list { padding: 7px; overflow: auto; display: flex; flex-direction: column; gap: 4px; }.object-list button { padding: 8px; border: 1px solid var(--border-subtle); border-radius: 4px; background: var(--surface-2); text-align: left; cursor: pointer; display: flex; flex-direction: column; gap: 3px; }.object-list button span { color: var(--text-3); font-size: 9px; }.object-list button.is-active { border-color: rgba(123,183,255,.35); background: rgba(123,183,255,.07); }.object-detail-inspector { overflow: auto; }.object-detail > header { padding: 12px; border-bottom: 1px solid var(--border-subtle); display: flex; flex-direction: column; gap: 4px; }.object-detail > header span { color: var(--evidence); font: 650 9px/1 var(--font-mono); text-transform: uppercase; }.object-detail dl { margin: 0; padding: 7px 12px; }.object-detail dl > div { display: grid; grid-template-columns: 130px 1fr; gap: 9px; padding: 6px 0; border-bottom: 1px solid var(--border-subtle); }.object-detail dt { color: var(--text-3); }.object-detail dd { margin: 0; word-break: break-word; font-family: var(--font-mono); font-size: 10px; }.object-detail details { margin: 8px 12px; }.object-detail summary { color: var(--text-2); cursor: pointer; }
+.decision-trace-graph { height: 520px; background: #071217; }.react-flow__node.trace-node { min-width: 150px; border: 1px solid var(--border-strong); border-radius: 6px; background: var(--surface-elevated); color: var(--text-1); font-size: 10px; box-shadow: 0 4px 16px rgba(0,0,0,.2); }.react-flow__node.trace-node-passenger { border-color: rgba(123,183,255,.42); }.react-flow__node.trace-node-hallcall { border-color: rgba(240,182,108,.42); }.react-flow__node.trace-node-dispatchdecision { border-color: rgba(85,210,201,.5); }.react-flow__node.trace-node-elevator { border-color: rgba(156,146,244,.48); }.react-flow__edge-text { fill: var(--text-2); font-size: 8px; }.react-flow__edge-textbg { fill: var(--surface-1); }.react-flow__controls button { background: var(--surface-2); border-color: var(--border-subtle); fill: var(--text-2); }.react-flow__minimap { background: var(--surface-2); border: 1px solid var(--border-subtle); }.graph-alternative { padding: 8px 12px; border-top: 1px solid var(--border-subtle); color: var(--text-2); }.graph-alternative summary { cursor: pointer; }.graph-alternative ul { max-height: 180px; overflow: auto; padding-left: 18px; }.graph-alternative button { border: 0; background: transparent; color: var(--text-2); cursor: pointer; text-align: left; font-family: var(--font-mono); font-size: 9px; }
+.ask-run-card { padding-bottom: 12px; }.ask-run-form { display: flex; gap: 8px; padding: 12px; }.ask-run-form input { flex: 1; min-width: 0; height: 34px; border: 1px solid var(--border-strong); border-radius: 6px; background: #071217; color: var(--text-1); padding: 0 10px; }.suggested-questions { padding: 0 12px 8px; display: flex; gap: 6px; flex-wrap: wrap; }.suggested-questions button { border: 1px solid var(--border-subtle); border-radius: 99px; background: var(--surface-2); color: var(--text-2); padding: 5px 8px; font-size: 9px; cursor: pointer; }.ask-run-answer { margin: 0 12px; padding: 12px; border: 1px solid rgba(123,183,255,.24); border-radius: 6px; background: rgba(123,183,255,.055); display: flex; flex-direction: column; gap: 7px; }.ask-run-answer > span { color: var(--evidence); font: 650 9px/1 var(--font-mono); text-transform: uppercase; }.ask-run-answer > strong { font-size: 13px; line-height: 1.45; }.ask-run-answer small { color: var(--text-3); line-height: 1.4; }
+
+.workbench-state { padding: 13px; border: 1px solid var(--border-subtle); border-radius: 6px; background: var(--surface-2); display: flex; flex-direction: column; gap: 6px; }.workbench-state-error { border-color: rgba(240,126,120,.3); color: #ffc2be; }.workbench-state-warning { border-color: rgba(240,182,108,.3); }.workbench-state-loading { color: var(--evidence); }.workbench-state > div { color: var(--text-2); }
+
+@media (max-width: 1180px) {
+  .workbench-layout.has-inspector { grid-template-columns: minmax(0, 1fr) 280px; }
+  .metric-grid { grid-template-columns: repeat(3, 1fr); }
+  .live-grid { grid-template-columns: minmax(500px, 1.5fr) minmax(230px, .7fr); }
+  .analytics-grid { grid-template-columns: repeat(2, 1fr); }.analytics-grid > :last-child { grid-column: 1 / -1; }
+  .comparison-cards { grid-template-columns: repeat(3, 1fr); }.canonical-theory-row { grid-template-columns: repeat(3, 1fr); }
+}
+
+@media (max-width: 820px) {
+  :root { --rail-width: 0px; }
+  .product-shell { display: block; padding-bottom: var(--status-height); }
+  .global-header { height: var(--header-height); position: sticky; }.brand-copy span { display: none; }.global-header-status .data-pill:not(:first-child) { display: none; }
+  .product-rail { position: sticky; top: var(--header-height); height: 48px; width: 100%; padding: 5px 8px; flex-direction: row; overflow-x: auto; border-right: 0; border-bottom: 1px solid var(--border-subtle); z-index: 35; }
+  .rail-button { min-width: 62px; min-height: 36px; flex-direction: row; gap: 5px; padding: 0 6px; }.rail-button small { max-width: 70px; }
+  .resource-header { padding: 12px; min-height: 72px; }.resource-header h1 { font-size: 17px; }.resource-header p { font-size: 11px; }.inspector-toggle { display: none; }
+  .workbench-toolbar { padding: 8px 12px; }.workbench-layout.has-inspector { display: block; }.workbench-main { padding: 10px; overflow: visible; }.inspector-pane { border: 1px solid var(--border-subtle); margin: 0 10px 10px; border-radius: 8px; }
+  .status-bar { position: fixed; left: 0; right: 0; bottom: 0; height: var(--status-height); z-index: 50; }.status-bar span:not(:first-child) { display: none; }
+  .live-controls { flex-wrap: nowrap; overflow-x: auto; }.live-controls label { min-width: 120px; }.live-controls .secondary-button { min-width: 80px; }
+  .metric-grid { grid-template-columns: repeat(2, 1fr); }.metric-card { min-height: 76px; }.metric-card > strong { font-size: 18px; }
+  .live-grid { grid-template-columns: 1fr; }.building { min-height: 540px; height: 64vh; }.shafts { inset-left: 180px; }.live-side-stack { grid-template-rows: auto; }.call-list, .event-stream { max-height: 300px; }
+  .analytics-grid, .chart-grid-two { grid-template-columns: 1fr; }.analytics-grid > :last-child { grid-column: auto; }
+  .policy-leaders, .evidence-detail-grid, .canonical-theory-row { grid-template-columns: repeat(2, 1fr); }.comparison-cards { grid-template-columns: repeat(2, 1fr); }.theory-takeaway { grid-template-columns: 1fr; gap: 10px; }.theory-takeaway-copy strong { font-size: 18px; }
+  .dispatch-workbench { grid-template-columns: 1fr; }.decision-list { max-height: 300px; }
+  .object-explorer-grid { grid-template-columns: 135px minmax(180px, 1fr); min-height: 480px; }.object-detail-inspector { grid-column: 1 / -1; border-top: 1px solid var(--border-subtle); max-height: 360px; }.object-list-pane { border-right: 0; }.decision-trace-graph { height: 430px; }
+  .ask-run-form { flex-direction: column; }.run-hero-card { align-items: flex-start; flex-direction: column; }
+}
+
+@media (max-width: 480px) {
+  .brand-copy strong { font-size: 11px; }.resource-header p { display: none; }.resource-header { min-height: 58px; }.global-header { padding: 0 10px; }
+  .metric-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }.metric-card { padding: 9px; }.metric-card > strong { font-size: 16px; }
+  .building { margin: 8px; min-height: 500px; }.floor-labels { width: 56px; }.floors { left: 70px; }.shafts { left: 145px; right: 6px; gap: 3px; }.car { min-width: 30px; left: 2%; right: 2%; font-size: 7px; }.shaft:nth-child(4) { margin-left: 4px; }.queue-badge { min-width: 42px; font-size: 7px; gap: 2px; }
+  .floor-heatmap { grid-template-columns: repeat(3, 1fr); }.comparison-cards, .policy-leaders, .evidence-detail-grid, .canonical-theory-row { grid-template-columns: 1fr; }
+  .object-explorer-grid { display: block; }.object-type-list { max-height: 180px; border-right: 0; border-bottom: 1px solid var(--border-subtle); }.object-list-pane { max-height: 300px; }.decision-trace-graph { height: 380px; }
+}
diff --git a/frontend/src/styles/tokens.css b/frontend/src/styles/tokens.css
new file mode 100644
index 0000000..00300c3
--- /dev/null
+++ b/frontend/src/styles/tokens.css
@@ -0,0 +1,40 @@
+:root {
+  --font-sans: Inter, ui-sans-serif, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
+  --font-mono: "SFMono-Regular", Consolas, "Liberation Mono", monospace;
+  --space-1: 4px;
+  --space-2: 8px;
+  --space-3: 12px;
+  --space-4: 16px;
+  --space-5: 20px;
+  --space-6: 24px;
+  --space-8: 32px;
+  --radius-sm: 5px;
+  --radius-md: 9px;
+  --radius-lg: 14px;
+  --surface-0: #071015;
+  --surface-1: #0a151c;
+  --surface-2: #0d1b23;
+  --surface-3: #11232d;
+  --surface-elevated: #132832;
+  --border-subtle: rgba(159, 192, 207, 0.14);
+  --border-strong: rgba(159, 192, 207, 0.28);
+  --text-1: #ecf3f5;
+  --text-2: #a5b6be;
+  --text-3: #70848e;
+  --accent: #55d2c9;
+  --accent-dim: rgba(85, 210, 201, 0.16);
+  --warning: #f0b66c;
+  --warning-dim: rgba(240, 182, 108, 0.14);
+  --negative: #f07e78;
+  --positive: #79d697;
+  --bank-low: #55d2c9;
+  --bank-high: #9c92f4;
+  --policy-capr: #55d2c9;
+  --policy-collective: #9c92f4;
+  --evidence: #7bb7ff;
+  --focus: #8fdfff;
+  --header-height: 54px;
+  --rail-width: 76px;
+  --status-height: 28px;
+  color-scheme: dark;
+}
diff --git a/frontend/src/test/setup.ts b/frontend/src/test/setup.ts
new file mode 100644
index 0000000..f149f27
--- /dev/null
+++ b/frontend/src/test/setup.ts
@@ -0,0 +1 @@
+import "@testing-library/jest-dom/vitest";
diff --git a/frontend/tsconfig.app.json b/frontend/tsconfig.app.json
new file mode 100644
index 0000000..2c27cda
--- /dev/null
+++ b/frontend/tsconfig.app.json
@@ -0,0 +1,21 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "useDefineForClassFields": true,
+    "lib": ["ES2022", "DOM", "DOM.Iterable"],
+    "allowJs": false,
+    "skipLibCheck": true,
+    "esModuleInterop": true,
+    "allowSyntheticDefaultImports": true,
+    "strict": true,
+    "forceConsistentCasingInFileNames": true,
+    "module": "ESNext",
+    "moduleResolution": "Bundler",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "noEmit": true,
+    "jsx": "react-jsx",
+    "types": ["vitest/globals"]
+  },
+  "include": ["src"]
+}
diff --git a/frontend/tsconfig.json b/frontend/tsconfig.json
new file mode 100644
index 0000000..1ffef60
--- /dev/null
+++ b/frontend/tsconfig.json
@@ -0,0 +1,7 @@
+{
+  "files": [],
+  "references": [
+    { "path": "./tsconfig.app.json" },
+    { "path": "./tsconfig.node.json" }
+  ]
+}
diff --git a/frontend/tsconfig.node.json b/frontend/tsconfig.node.json
new file mode 100644
index 0000000..2949cb2
--- /dev/null
+++ b/frontend/tsconfig.node.json
@@ -0,0 +1,11 @@
+{
+  "compilerOptions": {
+    "composite": true,
+    "noEmit": true,
+    "skipLibCheck": true,
+    "module": "ESNext",
+    "moduleResolution": "Bundler",
+    "allowImportingTsExtensions": true
+  },
+  "include": ["vite.config.ts"]
+}
diff --git a/frontend/vite.config.ts b/frontend/vite.config.ts
new file mode 100644
index 0000000..78fdf9c
--- /dev/null
+++ b/frontend/vite.config.ts
@@ -0,0 +1,16 @@
+import react from "@vitejs/plugin-react";
+import { defineConfig } from "vitest/config";
+
+
+export default defineConfig({
+  plugins: [react()],
+  build: {
+    outDir: "../web",
+    emptyOutDir: true,
+    sourcemap: false,
+  },
+  test: {
+    environment: "jsdom",
+    setupFiles: ["./src/test/setup.ts"],
+  },
+});
diff --git a/package.json b/package.json
index 504417c..42a37f5 100644
--- a/package.json
+++ b/package.json
@@ -2,7 +2,13 @@
   "name": "elevator-queue-lab-ui-qa",
   "private": true,
   "scripts": {
-    "test:e2e": "playwright test"
+    "frontend:install": "npm ci --prefix frontend",
+    "frontend:typecheck": "npm run typecheck --prefix frontend",
+    "frontend:test": "npm test --prefix frontend",
+    "frontend:build": "npm run build --prefix frontend",
+    "test:e2e": "playwright test",
+    "test:e2e:update": "playwright test tests/e2e/visual.spec.js --update-snapshots",
+    "capture:showcase": "SHOWCASE=1 playwright test tests/e2e/showcase.spec.js"
   },
   "devDependencies": {
     "@playwright/test": "^1.50.0"
diff --git a/web/app.js b/web/app.js
deleted file mode 100644
index bb0e88b..0000000
--- a/web/app.js
+++ /dev/null
@@ -1,802 +0,0 @@
-const FLOOR_COUNT = 18;
-const floorLabels = document.querySelector("#floor-labels");
-const floors = document.querySelector("#floors");
-const shafts = document.querySelector("#shafts");
-const assignmentOverlay = document.querySelector("#assignment-overlay");
-const controls = {
-  scenario: document.querySelector("#scenario"),
-  policy: document.querySelector("#policy"),
-  controlMode: document.querySelector("#control-mode"),
-  speed: document.querySelector("#speed"),
-  pause: document.querySelector("#pause"),
-  reset: document.querySelector("#reset"),
-};
-const replayControls = {
-  save: document.querySelector("#save-replay"),
-  enter: document.querySelector("#enter-replay"),
-  live: document.querySelector("#return-live"),
-  slider: document.querySelector("#replay-slider"),
-  status: document.querySelector("#replay-status"),
-};
-
-const carElements = new Map();
-const heatmapElements = new Map();
-let displayMode = "live";
-let savedReplay = null;
-let latestLiveSnapshot = null;
-let experimentPayload = null;
-let theoryPayload = null;
-
-const EVIDENCE_POLICIES = ["legacy_sticky", "nearest_car", "collective", "queue_aware", "capr"];
-const POLICY_LABELS = {
-  legacy_sticky: "Legacy sticky",
-  nearest_car: "Nearest car",
-  collective: "Collective",
-  queue_aware: "Queue-aware",
-  capr: "CAPR",
-};
-const GUARDRAIL_PRIORITY = {
-  candidate_improvement: 0,
-  reference: 1,
-  mean_improves_with_guardrail_tradeoff: 2,
-  no_mean_improvement: 3,
-};
-
-function floorBottomPercent(floor) {
-  return ((floor - 1) / (FLOOR_COUNT - 1)) * 100;
-}
-
-function buildBuilding() {
-  for (let floor = 1; floor <= FLOOR_COUNT; floor += 1) {
-    const label = document.createElement("div");
-    label.className = `floor-label ${floor === FLOOR_COUNT ? "roof-access" : ""}`;
-    label.textContent = floor === FLOOR_COUNT ? `${floor}F · ROOF` : `${floor}F`;
-    label.style.bottom = `calc(${floorBottomPercent(floor)}% - 4px)`;
-    floorLabels.appendChild(label);
-
-    const line = document.createElement("div");
-    line.className = `floor-line ${floor === 1 ? "lobby" : ""} ${floor === FLOOR_COUNT ? "roof-access" : ""}`;
-    line.dataset.floor = String(floor);
-    line.style.bottom = `${floorBottomPercent(floor)}%`;
-    floors.appendChild(line);
-  }
-
-  ["L1", "L2", "L3", "H1", "H2", "H3"].forEach((id) => {
-    const shaft = document.createElement("div");
-    shaft.className = "shaft";
-    shaft.dataset.id = id;
-    const car = document.createElement("div");
-    car.className = `car ${id.startsWith("L") ? "low" : "high"}`;
-    car.dataset.carId = id;
-    car.innerHTML = `<span>${id}</span><span>0/14</span>`;
-    shaft.appendChild(car);
-    shafts.appendChild(shaft);
-    carElements.set(id, car);
-  });
-
-  const heatmap = document.querySelector("#floor-heatmap");
-  for (let floor = 1; floor <= FLOOR_COUNT; floor += 1) {
-    const cell = document.createElement("div");
-    cell.className = "heat-cell";
-    cell.dataset.floor = String(floor);
-    cell.dataset.queue = "0";
-    cell.innerHTML = `<span>${floor === FLOOR_COUNT ? `${floor}R` : `${floor}F`}</span><strong>0</strong>`;
-    heatmap.appendChild(cell);
-    heatmapElements.set(String(floor), cell);
-  }
-}
-
-function fmtSeconds(value) {
-  return `${Number(value || 0).toFixed(1)}s`;
-}
-
-function historyFromReplay(index) {
-  if (!savedReplay) return [];
-  return savedReplay.frames
-    .slice(0, index + 1)
-    .filter((frame) => Number(frame.sim_time) % 15 === 0)
-    .map((frame) => ({
-      sim_time: frame.sim_time,
-      avg_wait: frame.metrics.avg_wait,
-      p95_wait: frame.metrics.p95_wait,
-    }));
-}
-
-function render(snapshot, options = {}) {
-  const replay = Boolean(options.replay);
-  if (!replay) latestLiveSnapshot = snapshot;
-
-  controls.scenario.value = snapshot.scenario;
-  controls.policy.value = snapshot.policy;
-  controls.controlMode.value = snapshot.simulation_config?.control_mode || "conventional";
-  document.querySelector("#clock").textContent = snapshot.clock;
-  const minutes = Math.floor(Number(snapshot.sim_time) / 60);
-  const seconds = Number(snapshot.sim_time) % 60;
-  document.querySelector("#elapsed").textContent = `T+${String(minutes).padStart(2, "0")}:${String(seconds).padStart(2, "0")}`;
-
-  const live = document.querySelector("#live-state");
-  live.classList.toggle("paused", replay || !snapshot.running);
-  live.classList.toggle("replay", replay);
-  live.querySelector("span").textContent = replay ? "REPLAY MODE" : snapshot.running ? "LIVE SIMULATION" : "PAUSED";
-  controls.pause.textContent = snapshot.running ? "Pause" : "Resume";
-
-  const m = snapshot.metrics;
-  document.querySelector("#avg-wait").textContent = fmtSeconds(m.avg_wait);
-  document.querySelector("#p95-wait").textContent = fmtSeconds(m.p95_wait);
-  document.querySelector("#queue").textContent = String(m.current_queue);
-  document.querySelector("#queue").dataset.apiValue = String(m.current_queue);
-  document.querySelector("#avg-queue").textContent = `Lq avg ${Number(m.avg_queue).toFixed(2)}`;
-  document.querySelector("#misses").textContent = String(m.missed_capacity);
-  document.querySelector("#reassignments").textContent = `${Number(m.reassignments || 0)} predictive reassignments`;
-  document.querySelector("#served").textContent = `${m.served} served`;
-  document.querySelector("#lq-observed").textContent = Number(m.avg_queue).toFixed(2);
-  document.querySelector("#lq-derived").textContent = Number(m.little_law_lq).toFixed(2);
-  document.querySelector("#arrival-rate").textContent = `${Number(m.arrival_rate_per_min).toFixed(1)}/min`;
-
-  snapshot.elevators.forEach((car) => {
-    const el = carElements.get(car.id);
-    if (!el) return;
-    el.style.bottom = `calc(${floorBottomPercent(car.floor)}% - 14px)`;
-    el.classList.toggle("full", car.load >= car.capacity);
-    el.classList.toggle("door-open", Boolean(car.door_open));
-    const arrow = car.direction > 0 ? "↑" : car.direction < 0 ? "↓" : "·";
-    el.innerHTML = `<span>${car.id} ${arrow}</span><span>${car.load}/${car.capacity}</span>`;
-    el.dataset.floor = String(car.floor);
-    el.dataset.load = String(car.load);
-    el.dataset.capacity = String(car.capacity);
-    el.dataset.phase = String(car.phase);
-    el.title = `${car.id}: floor ${car.floor}, ${car.phase}, stops ${car.stops.join(", ") || "none"}`;
-  });
-
-  renderQueues(snapshot.queues || {});
-  renderCalls(snapshot.calls || []);
-  renderDecision(snapshot.decision_tail || []);
-  renderEvents(snapshot.event_tail || []);
-  requestAnimationFrame(() => drawAssignmentLinks(snapshot.calls || []));
-
-  const chartHistory = replay ? historyFromReplay(Number(options.replayIndex || 0)) : snapshot.history || [];
-  drawChart(chartHistory);
-}
-
-function renderQueues(queues) {
-  document.querySelectorAll(".queue-badge").forEach((node) => node.remove());
-  let total = 0;
-  let maximum = 0;
-  const counts = {};
-  for (let floor = 1; floor <= FLOOR_COUNT; floor += 1) {
-    const queue = queues[String(floor)] || { up: 0, down: 0 };
-    const count = Number(queue.up || 0) + Number(queue.down || 0);
-    counts[String(floor)] = count;
-    total += count;
-    maximum = Math.max(maximum, count);
-    if (!count) continue;
-    const badge = document.createElement("div");
-    badge.className = "queue-badge";
-    badge.dataset.floor = String(floor);
-    badge.style.bottom = `calc(${floorBottomPercent(floor)}% - 7px)`;
-    badge.innerHTML = `<b>↑ ${queue.up || 0}</b><b class="down">↓ ${queue.down || 0}</b>`;
-    floors.appendChild(badge);
-  }
-  document.querySelector("#heatmap-total").textContent = `${total} waiting`;
-  for (let floor = 1; floor <= FLOOR_COUNT; floor += 1) {
-    const cell = heatmapElements.get(String(floor));
-    const count = counts[String(floor)] || 0;
-    const ratio = maximum ? count / maximum : 0;
-    cell.dataset.queue = String(count);
-    cell.style.setProperty("--heat", String(ratio));
-    cell.querySelector("strong").textContent = String(count);
-  }
-}
-
-function renderCalls(calls) {
-  const target = document.querySelector("#calls");
-  if (!calls.length) {
-    target.innerHTML = `<span class="muted">No active hall calls.</span>`;
-    return;
-  }
-  target.innerHTML = calls
-    .slice()
-    .sort((a, b) => b.wait - a.wait)
-    .slice(0, 12)
-    .map((call) => {
-      const destination = call.destination ? ` → ${call.destination}F` : "";
-      const score = call.assigned_score == null ? "" : ` · ${Number(call.assigned_score).toFixed(1)}`;
-      return `<span class="call" data-floor="${call.floor}" data-assigned="${call.assigned || ""}"><b>${call.floor}F ${call.direction > 0 ? "↑" : "↓"}${destination}</b><span>${call.assigned || "unassigned"}${score}</span><span class="wait">${Number(call.wait).toFixed(0)}s</span>${call.missed ? `<span class="miss">miss ${call.missed}</span>` : ""}</span>`;
-    })
-    .join("");
-}
-
-function renderDecision(decisions) {
-  const latest = decisions.at(-1);
-  const reason = document.querySelector("#decision-reason");
-  const candidates = document.querySelector("#decision-candidates");
-  document.querySelector("#decision-policy").textContent = controls.policy.options[controls.policy.selectedIndex]?.text || controls.policy.value;
-  if (!latest) {
-    reason.textContent = "Waiting for the first dispatch decision…";
-    document.querySelector("#decision-call").textContent = "No active decision";
-    document.querySelector("#decision-queue").textContent = "queue 0";
-    candidates.innerHTML = `<tr><td colspan="5" class="muted">No candidate scores yet.</td></tr>`;
-    return;
-  }
-  reason.textContent = latest.reason || "Decision reason unavailable";
-  const destination = latest.destination ? ` → ${latest.destination}F` : "";
-  document.querySelector("#decision-call").textContent = `${latest.floor}F ${latest.direction > 0 ? "↑" : "↓"}${destination} · ${latest.bank}`;
-  document.querySelector("#decision-queue").textContent = `queue ${latest.queue_size || 0}`;
-  const rows = latest.candidates || latest.evaluations || [];
-  if (!rows.length) {
-    candidates.innerHTML = `<tr><td colspan="5" class="muted">No compatible candidates.</td></tr>`;
-    return;
-  }
-  candidates.innerHTML = rows
-    .slice()
-    .sort((a, b) => Number(a.score) - Number(b.score))
-    .map((item) => {
-      const chosen = item.elevator_id === latest.chosen_elevator_id;
-      return `<tr class="${chosen ? "chosen" : ""}"><td>${item.elevator_id}${chosen ? " ✓" : ""}</td><td>${Number(item.pickup_eta ?? item.eta ?? 0).toFixed(1)}s</td><td>${item.residual_capacity ?? "—"}</td><td>${Number(item.score ?? 0).toFixed(1)}</td><td>${item.feasible === false ? "no" : "yes"}</td></tr>`;
-    })
-    .join("");
-}
-
-function renderEvents(events) {
-  const target = document.querySelector("#event-stream");
-  const relevant = events
-    .filter((event) => ["assign", "reassign", "assignment_invalidated", "full_pass"].includes(event.kind))
-    .slice(-8)
-    .reverse();
-  if (!relevant.length) {
-    target.innerHTML = `<span class="muted">No dispatch events yet.</span>`;
-    return;
-  }
-  target.innerHTML = relevant.map((event) => {
-    const label = {
-      assign: "ASSIGN",
-      reassign: "REASSIGN",
-      assignment_invalidated: "INVALIDATE",
-      full_pass: "FULL PASS",
-    }[event.kind];
-    const reason = event.details?.reason || event.details?.decision_reason || "";
-    return `<article class="event event-${event.kind}"><time>T+${Number(event.sim_time).toFixed(1)}s</time><b>${label}</b><span>${event.floor || "—"}F · ${event.elevator_id || "—"}</span>${reason ? `<small>${escapeHtml(reason)}</small>` : ""}</article>`;
-  }).join("");
-}
-
-function escapeHtml(value) {
-  return String(value).replace(/[&<>'"]/g, (character) => ({
-    "&": "&amp;", "<": "&lt;", ">": "&gt;", "'": "&#39;", '"': "&quot;",
-  })[character]);
-}
-
-function drawAssignmentLinks(calls) {
-  const building = document.querySelector("#building");
-  const rect = building.getBoundingClientRect();
-  assignmentOverlay.setAttribute("viewBox", `0 0 ${rect.width} ${rect.height}`);
-  assignmentOverlay.innerHTML = "";
-  calls.filter((call) => call.assigned && carElements.has(call.assigned)).slice(0, 16).forEach((call) => {
-    const carRect = carElements.get(call.assigned).getBoundingClientRect();
-    const x1 = 105;
-    const y1 = rect.height - (floorBottomPercent(Number(call.floor)) / 100) * rect.height;
-    const x2 = carRect.left - rect.left + carRect.width / 2;
-    const y2 = carRect.top - rect.top + carRect.height / 2;
-    const line = document.createElementNS("http://www.w3.org/2000/svg", "line");
-    line.setAttribute("x1", x1);
-    line.setAttribute("y1", y1);
-    line.setAttribute("x2", x2);
-    line.setAttribute("y2", y2);
-    line.setAttribute("class", call.bank === "low" ? "link-low" : "link-high");
-    assignmentOverlay.appendChild(line);
-    const dot = document.createElementNS("http://www.w3.org/2000/svg", "circle");
-    dot.setAttribute("cx", x1);
-    dot.setAttribute("cy", y1);
-    dot.setAttribute("r", 3);
-    dot.setAttribute("class", call.bank === "low" ? "link-low" : "link-high");
-    assignmentOverlay.appendChild(dot);
-  });
-}
-
-function drawChart(history) {
-  const canvas = document.querySelector("#wait-chart");
-  const ratio = window.devicePixelRatio || 1;
-  const rect = canvas.getBoundingClientRect();
-  const width = Math.max(300, Math.round(rect.width * ratio));
-  const height = Math.max(140, Math.round(rect.height * ratio));
-  if (canvas.width !== width || canvas.height !== height) {
-    canvas.width = width;
-    canvas.height = height;
-  }
-  const ctx = canvas.getContext("2d");
-  ctx.clearRect(0, 0, width, height);
-  const pad = 22 * ratio;
-  const plotW = width - pad * 2;
-  const plotH = height - pad * 2;
-  const values = history.flatMap((point) => [Number(point.avg_wait), Number(point.p95_wait)]);
-  const max = Math.max(20, ...values) * 1.12;
-  ctx.strokeStyle = "rgba(150,180,200,.12)";
-  ctx.lineWidth = ratio;
-  for (let i = 0; i <= 4; i += 1) {
-    const y = pad + (plotH * i) / 4;
-    ctx.beginPath(); ctx.moveTo(pad, y); ctx.lineTo(width - pad, y); ctx.stroke();
-  }
-  if (history.length < 2) return;
-  const line = (field, color) => {
-    ctx.strokeStyle = color;
-    ctx.lineWidth = 2 * ratio;
-    ctx.beginPath();
-    history.forEach((point, index) => {
-      const x = pad + (index / (history.length - 1)) * plotW;
-      const y = pad + plotH - (Number(point[field]) / max) * plotH;
-      if (index === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y);
-    });
-    ctx.stroke();
-  };
-  line("avg_wait", "#4dd7d1");
-  line("p95_wait", "#f1b86a");
-}
-
-async function sendControl(action) {
-  const response = await fetch("/api/control", {
-    method: "POST",
-    headers: { "Content-Type": "application/json" },
-    body: JSON.stringify({
-      action,
-      scenario: controls.scenario.value,
-      policy: controls.policy.value,
-      control_mode: controls.controlMode.value,
-      speed: Number(controls.speed.value),
-    }),
-  });
-  const payload = await response.json();
-  if (!response.ok) throw new Error(payload.error || "control request failed");
-  if (displayMode === "live") render(payload);
-  return payload;
-}
-
-function setSimulationControlsDisabled(disabled) {
-  [controls.scenario, controls.policy, controls.controlMode, controls.speed, controls.pause, controls.reset]
-    .forEach((element) => { element.disabled = disabled; });
-}
-
-async function saveReplay() {
-  const response = await fetch("/api/replay", {
-    method: "POST",
-    headers: { "Content-Type": "application/json" },
-    body: JSON.stringify({ action: "save" }),
-  });
-  savedReplay = await response.json();
-  replayControls.enter.disabled = !savedReplay.frames?.length;
-  replayControls.slider.max = String(Math.max(0, (savedReplay.frames?.length || 1) - 1));
-  replayControls.slider.value = replayControls.slider.max;
-  document.querySelector("#replay-count").textContent = String(savedReplay.frame_count || 0);
-  document.querySelector("#replay-scenario").textContent = savedReplay.scenario || "—";
-  document.querySelector("#replay-policy").textContent = savedReplay.policy || "—";
-  replayControls.status.textContent = "saved run";
-  updateReplayMeta(Number(replayControls.slider.value));
-}
-
-async function enterReplay() {
-  if (!savedReplay?.frames?.length) return;
-  if (latestLiveSnapshot?.running) await sendControl("pause");
-  displayMode = "replay";
-  setSimulationControlsDisabled(true);
-  replayControls.live.disabled = false;
-  replayControls.enter.disabled = true;
-  replayControls.slider.disabled = false;
-  replayControls.status.textContent = "replay mode";
-  renderReplayFrame(Number(replayControls.slider.value));
-}
-
-function returnLive() {
-  displayMode = "live";
-  setSimulationControlsDisabled(false);
-  replayControls.live.disabled = true;
-  replayControls.enter.disabled = !savedReplay?.frames?.length;
-  replayControls.slider.disabled = true;
-  replayControls.status.textContent = savedReplay ? "saved run" : "live buffer";
-  if (latestLiveSnapshot) render(latestLiveSnapshot);
-}
-
-function renderReplayFrame(index) {
-  if (!savedReplay?.frames?.length) return;
-  const bounded = Math.max(0, Math.min(index, savedReplay.frames.length - 1));
-  replayControls.slider.value = String(bounded);
-  const frame = {
-    ...savedReplay.frames[bounded],
-    running: false,
-    speed: 0,
-    history: historyFromReplay(bounded),
-  };
-  render(frame, { replay: true, replayIndex: bounded });
-  updateReplayMeta(bounded);
-}
-
-function updateReplayMeta(index) {
-  if (!savedReplay?.frames?.length) return;
-  const frame = savedReplay.frames[index];
-  document.querySelector("#replay-frame").textContent = `Frame ${index + 1} / ${savedReplay.frames.length}`;
-  document.querySelector("#replay-clock").textContent = frame?.clock || "—";
-}
-
-function populateEvidence() {
-  if (!experimentPayload?.baseline?.scenarios) return;
-  const select = document.querySelector("#evidence-scenario");
-  const preferred = ["morning", "lunch", "normal", "evening", "shock", "mixed_day"];
-  select.innerHTML = preferred
-    .filter((name) => experimentPayload.baseline.scenarios[name])
-    .map((name) => `<option value="${name}">${name.replace("_", " ")}</option>`)
-    .join("");
-  select.value = "lunch";
-  renderEvidenceScenario(select.value);
-}
-
-function evidenceLabel(classification) {
-  return ({
-    candidate_improvement: "clean candidate",
-    reference: "collective reference",
-    mean_improves_with_guardrail_tradeoff: "faster · tradeoff",
-    no_mean_improvement: "no mean gain",
-  })[classification] || classification.replaceAll("_", " ");
-}
-
-function evidenceClassName(classification) {
-  if (classification === "candidate_improvement") return "good";
-  if (classification === "reference") return "reference";
-  if (classification.includes("tradeoff")) return "tradeoff";
-  return "neutral";
-}
-
-function rankedPolicies(scenario) {
-  const entries = EVIDENCE_POLICIES
-    .filter((name) => scenario.policies[name])
-    .map((name) => ({ name, ...scenario.policies[name] }));
-  const speedOrder = [...entries].sort((a, b) =>
-    Number(a.avg_wait) - Number(b.avg_wait)
-      || Number(a.p95_wait) - Number(b.p95_wait)
-      || Number(a.energy_proxy) - Number(b.energy_proxy));
-  const speedRanks = new Map(speedOrder.map((item, index) => [item.name, index + 1]));
-  return entries
-    .sort((a, b) =>
-      (GUARDRAIL_PRIORITY[a.guardrail_classification] ?? 99) - (GUARDRAIL_PRIORITY[b.guardrail_classification] ?? 99)
-        || Number(a.avg_wait) - Number(b.avg_wait)
-        || Number(a.p95_wait) - Number(b.p95_wait)
-        || Number(a.energy_proxy) - Number(b.energy_proxy))
-    .map((item, index) => ({ ...item, decisionRank: index + 1, speedRank: speedRanks.get(item.name) }));
-}
-
-function signedSeconds(value) {
-  const numeric = Number(value || 0);
-  if (Math.abs(numeric) < 0.005) return "±0.00s";
-  return `${numeric > 0 ? "+" : "−"}${Math.abs(numeric).toFixed(2)}s`;
-}
-
-function renderPolicyLeaders(ranked) {
-  const leader = ranked[0];
-  const fastest = [...ranked].sort((a, b) => a.speedRank - b.speedRank)[0];
-  const cleanCandidates = ranked.filter((item) => item.guardrail_classification === "candidate_improvement");
-  const target = document.querySelector("#policy-leaders");
-  target.innerHTML = `
-    <article class="policy-leader primary">
-      <span>Guardrail-aware #1</span>
-      <strong>${POLICY_LABELS[leader.name]}</strong>
-      <small>${evidenceLabel(leader.guardrail_classification)} · ${Number(leader.avg_wait).toFixed(2)}s AWT</small>
-    </article>
-    <article class="policy-leader">
-      <span>Fastest mean wait</span>
-      <strong>${POLICY_LABELS[fastest.name]}</strong>
-      <small>#${fastest.speedRank} speed · ${Number(fastest.avg_wait).toFixed(2)}s${fastest.name === leader.name ? " · same leader" : ` · ${evidenceLabel(fastest.guardrail_classification)}`}</small>
-    </article>
-    <article class="policy-leader">
-      <span>Clean candidates</span>
-      <strong>${cleanCandidates.length}</strong>
-      <small>${cleanCandidates.length ? cleanCandidates.map((item) => POLICY_LABELS[item.name]).join(" · ") : "Collective remains the guardrail-safe reference"}</small>
-    </article>`;
-}
-
-function sampleStandardDeviation(values) {
-  if (values.length < 2) return 0;
-  const center = values.reduce((sum, value) => sum + value, 0) / values.length;
-  const variance = values.reduce((sum, value) => sum + (value - center) ** 2, 0) / (values.length - 1);
-  return Math.sqrt(variance);
-}
-
-function gaussianKernelDensity(values, x, bandwidth) {
-  if (!values.length || bandwidth <= 0) return 0;
-  const normalizer = values.length * bandwidth * Math.sqrt(2 * Math.PI);
-  return values.reduce((sum, value) => {
-    const z = (x - value) / bandwidth;
-    return sum + Math.exp(-0.5 * z * z);
-  }, 0) / normalizer;
-}
-
-function renderPolicyDensity(ranked) {
-  const svg = document.querySelector("#policy-density-chart");
-  const legend = document.querySelector("#policy-density-legend");
-  const series = ranked
-    .map((item) => ({ ...item, values: (item.avg_wait_seed_values || []).map(Number).filter(Number.isFinite) }))
-    .filter((item) => item.values.length);
-  if (!series.length) {
-    svg.innerHTML = '<text x="380" y="140" text-anchor="middle" class="density-empty">Seed-level distribution evidence unavailable</text>';
-    legend.innerHTML = "";
-    return;
-  }
-
-  const allValues = series.flatMap((item) => item.values);
-  const observedMin = Math.min(...allValues);
-  const observedMax = Math.max(...allValues);
-  const observedSpan = Math.max(1, observedMax - observedMin);
-  const domainMin = Math.max(0, observedMin - observedSpan * 0.08);
-  const domainMax = observedMax + observedSpan * 0.08;
-  const width = 760;
-  const height = 280;
-  const left = 48;
-  const right = 18;
-  const top = 15;
-  const bottom = 44;
-  const plotWidth = width - left - right;
-  const plotHeight = height - top - bottom;
-  const xScale = (value) => left + ((value - domainMin) / (domainMax - domainMin)) * plotWidth;
-
-  const samples = 110;
-  const curves = series.map((item) => {
-    const spread = sampleStandardDeviation(item.values);
-    const bandwidth = Math.max(observedSpan / 45, 1.06 * Math.max(spread, observedSpan / 30) * item.values.length ** -0.2);
-    const points = Array.from({ length: samples + 1 }, (_, index) => {
-      const x = domainMin + (index / samples) * (domainMax - domainMin);
-      return [x, gaussianKernelDensity(item.values, x, bandwidth)];
-    });
-    return { ...item, points };
-  });
-  const maxDensity = Math.max(...curves.flatMap((curve) => curve.points.map(([, density]) => density)), 0.0001);
-  const yScale = (density) => top + plotHeight - (density / maxDensity) * plotHeight * 0.92;
-  const baselineY = top + plotHeight;
-  const ticks = Array.from({ length: 6 }, (_, index) => domainMin + (index / 5) * (domainMax - domainMin));
-
-  const grid = ticks.map((tick) => {
-    const x = xScale(tick);
-    return `<g class="density-grid"><line x1="${x.toFixed(2)}" y1="${top}" x2="${x.toFixed(2)}" y2="${baselineY}"/><text x="${x.toFixed(2)}" y="${height - 18}" text-anchor="middle">${tick.toFixed(1)}s</text></g>`;
-  }).join("");
-
-  const paths = curves.map((curve) => {
-    const linePath = curve.points.map(([x, density], index) => `${index ? "L" : "M"}${xScale(x).toFixed(2)},${yScale(density).toFixed(2)}`).join(" ");
-    const areaPath = `M${xScale(curve.points[0][0]).toFixed(2)},${baselineY} ${curve.points.map(([x, density]) => `L${xScale(x).toFixed(2)},${yScale(density).toFixed(2)}`).join(" ")} L${xScale(curve.points.at(-1)[0]).toFixed(2)},${baselineY} Z`;
-    const meanX = xScale(Number(curve.avg_wait));
-    const meanDensity = gaussianKernelDensity(curve.values, Number(curve.avg_wait), Math.max(observedSpan / 45, 1.06 * Math.max(sampleStandardDeviation(curve.values), observedSpan / 30) * curve.values.length ** -0.2));
-    return `<g class="density-series density-${curve.name}" data-policy="${curve.name}"><path class="density-area" d="${areaPath}"/><path class="density-line" d="${linePath}"/><circle class="density-mean" cx="${meanX.toFixed(2)}" cy="${yScale(meanDensity).toFixed(2)}" r="3.4"/></g>`;
-  }).join("");
-
-  svg.innerHTML = `${grid}<line class="density-axis" x1="${left}" y1="${baselineY}" x2="${width - right}" y2="${baselineY}"/>${paths}<text class="density-axis-label" x="${width - right}" y="${height - 2}" text-anchor="end">per-seed average wait (seconds) → lower is better</text>`;
-  legend.innerHTML = ranked.map((item) => `<span><i class="density-swatch density-${item.name}"></i><b>#${item.decisionRank}</b>${POLICY_LABELS[item.name]}</span>`).join("");
-}
-
-function renderPolicyRanking(ranked) {
-  const target = document.querySelector("#policy-ranking-body");
-  target.innerHTML = ranked.map((item) => {
-    const ci = Number(item.avg_wait_ci95_halfwidth || 0);
-    const evidenceClass = evidenceClassName(item.guardrail_classification);
-    return `<tr class="rank-${evidenceClass}" data-policy="${item.name}">
-      <td><strong class="decision-rank">#${item.decisionRank}</strong></td>
-      <td><strong>${POLICY_LABELS[item.name]}</strong></td>
-      <td><span class="evidence-pill ${evidenceClass}">${evidenceLabel(item.guardrail_classification)}</span></td>
-      <td><b>${Number(item.avg_wait).toFixed(2)}s</b><small>±${ci.toFixed(2)}s</small></td>
-      <td>${Number(item.p95_wait).toFixed(2)}s</td>
-      <td>${Number(item.p99_wait || 0).toFixed(2)}s</td>
-      <td>${Number(item.worst_floor_mean_wait || 0).toFixed(2)}s</td>
-      <td>${Number(item.energy_proxy).toFixed(0)}</td>
-      <td class="delta ${Number(item.avg_wait_delta_vs_collective || 0) < 0 ? "better" : Number(item.avg_wait_delta_vs_collective || 0) > 0 ? "worse" : ""}">${signedSeconds(item.avg_wait_delta_vs_collective)}</td>
-      <td>#${item.speedRank}</td>
-    </tr>`;
-  }).join("");
-}
-
-function renderEvidenceScenario(scenarioName) {
-  const scenario = experimentPayload?.baseline?.scenarios?.[scenarioName];
-  if (!scenario) return;
-  const ranked = rankedPolicies(scenario);
-  renderPolicyLeaders(ranked);
-  const target = document.querySelector("#comparison-cards");
-  target.innerHTML = ranked.map((rankedItem) => {
-    const name = rankedItem.name;
-    const item = scenario.policies[name];
-    const classification = item.guardrail_classification;
-    const className = evidenceClassName(classification);
-    return `<article class="comparison-card ${className}" data-policy="${name}"><div class="comparison-card-head"><div><span>${POLICY_LABELS[name]}</span><b>${evidenceLabel(classification)}</b></div><i>#${rankedItem.decisionRank}</i></div><strong>${Number(item.avg_wait).toFixed(2)}s</strong><small>avg wait · speed rank #${rankedItem.speedRank}</small><dl><div><dt>95% CI</dt><dd>±${Number(item.avg_wait_ci95_halfwidth || 0).toFixed(2)}s</dd></div><div><dt>P95</dt><dd>${Number(item.p95_wait).toFixed(2)}s</dd></div><div><dt>Energy proxy</dt><dd>${Number(item.energy_proxy).toFixed(0)}</dd></div></dl></article>`;
-  }).join("");
-  renderPolicyDensity(ranked);
-  renderPolicyRanking(ranked);
-  const capr = scenario.policies.capr;
-  const collective = scenario.policies.collective;
-  const delta = Number(capr.avg_wait) - Number(collective.avg_wait);
-  const note = document.querySelector("#comparison-note");
-  const leader = ranked[0];
-  const fastest = [...ranked].sort((a, b) => a.speedRank - b.speedRank)[0];
-  note.innerHTML = `<b>Scenario readout:</b> ${POLICY_LABELS[leader.name]} is the guardrail-aware leader; ${POLICY_LABELS[fastest.name]} is fastest by mean AWT. <span>CAPR is ${delta < 0 ? "lower" : "higher"} than collective by ${Math.abs(delta).toFixed(2)}s and is classified “${evidenceLabel(capr.guardrail_classification)}”. Ranking is scenario-specific, not a claim of global superiority.</span>`;
-}
-
-async function loadEvidence() {
-  const response = await fetch("/api/experiment", { cache: "no-store" });
-  if (!response.ok) return;
-  experimentPayload = await response.json();
-  populateEvidence();
-}
-
-function theoryPhaseLabel(bidirectionalLoad) {
-  if (bidirectionalLoad < 4) return "static / churn";
-  if (bidirectionalLoad < 12) return "transition";
-  return "predictive value";
-}
-
-function renderTheory() {
-  const discovery = theoryPayload?.discovery;
-  const validation = theoryPayload?.validation;
-  if (!discovery?.theory || !validation?.result) return;
-  const theory = discovery.theory;
-  const result = validation.result;
-  const threshold = Number(theory.best_single_threshold?.threshold || 0);
-  const linear = theory.linear_wait_delta_fit || {};
-  const heldoutLinear = result.frozen_linear_effect_model || {};
-  const gated = result.gated_policy_projection || {};
-
-  const leaders = document.querySelector("#theory-leaders");
-  leaders.innerHTML = `
-    <article class="theory-leader primary">
-      <span>Discovery relationship</span>
-      <strong>r = ${Number(theory.pearson_bidirectional_load_rate_vs_capr_wait_delta).toFixed(2)}</strong>
-      <small>higher B tracks lower CAPR − static average wait</small>
-    </article>
-    <article class="theory-leader">
-      <span>High-effect trigger</span>
-      <strong>B ≈ ${threshold.toFixed(2)}</strong>
-      <small>${Number(theory.best_single_threshold.accuracy * 100).toFixed(1)}% discovery classification</small>
-    </article>
-    <article class="theory-leader">
-      <span>Held-out falsification</span>
-      <strong>${Number(result.accuracy * 100).toFixed(1)}%</strong>
-      <small>${result.correct_cells}/${result.total_cells} unseen cells · recall ${Number(result.recall * 100).toFixed(0)}%</small>
-    </article>
-    <article class="theory-leader">
-      <span>B-gated control projection</span>
-      <strong>${Number((gated.wait_gain_retained_vs_always_on_capr || 0) * 100).toFixed(0)}% wait gain</strong>
-      <small>${Number((gated.energy_overhead_reduction_vs_always_on_capr || 0) * 100).toFixed(0)}% less added energy · active ${gated.active_cells || 0}/${gated.total_cells || 0}</small>
-    </article>`;
-
-  renderTheoryScatter(discovery, validation);
-  renderTheoryPhases(theory);
-  renderCanonicalTheory(threshold);
-
-  const rule = document.querySelector("#theory-rule");
-  rule.innerHTML = `<span>Empirical effect law</span><strong>ΔAWT ≈ ${Number(linear.intercept_seconds).toFixed(3)} ${Number(linear.slope_seconds_per_bidirectional_pax_per_min) < 0 ? "−" : "+"} ${Math.abs(Number(linear.slope_seconds_per_bidirectional_pax_per_min)).toFixed(3)} · B</strong><small>CAPR minus CAPR-static · seconds · discovery R² ${Number(linear.r_squared).toFixed(2)}</small>`;
-
-  const caveat = document.querySelector("#theory-caveat");
-  caveat.innerHTML = `<b>What survived falsification:</b> B is useful as a continuous effect predictor (held-out r=${Number(heldoutLinear.correlation_observed_vs_predicted || 0).toFixed(2)}, MAE ${Number(heldoutLinear.mae_seconds || 0).toFixed(2)}s) and a high-recall screening variable, but B≈${threshold.toFixed(2)} is not a hard universal critical constant. The held-out grid produced ${result.confusion?.false_positive ?? 0} threshold false positives and ${result.confusion?.false_negative ?? 0} false negatives; ${result.all_threshold_positive_cells_have_negative_mean_delta ? "every threshold-positive held-out cell still moved mean AWT in the beneficial direction, but several confidence intervals crossed zero." : "some threshold-positive cells did not even improve the mean."} Treat this as a fuzzy phase transition to test on other buildings, capacities and traffic mixes.`;
-}
-
-function renderTheoryScatter(discovery, validation) {
-  const svg = document.querySelector("#theory-scatter");
-  const discoveryCells = discovery.cells || [];
-  const validationCells = validation.cells || [];
-  const allCells = [...discoveryCells, ...validationCells];
-  if (!allCells.length) return;
-  const points = allCells.map((cell) => ({
-    x: Number(cell.demand.bidirectional_load_rate),
-    y: Number(cell.capr_vs_static.metrics.avg_wait.delta_mean),
-  }));
-  const width = 820;
-  const height = 340;
-  const left = 58;
-  const right = 22;
-  const top = 18;
-  const bottom = 48;
-  const plotWidth = width - left - right;
-  const plotHeight = height - top - bottom;
-  const xMax = Math.max(30, ...points.map((point) => point.x)) * 1.03;
-  const observedMin = Math.min(...points.map((point) => point.y));
-  const observedMax = Math.max(...points.map((point) => point.y));
-  const yMin = Math.min(-7, observedMin - 0.5);
-  const yMax = Math.max(4, observedMax + 0.5);
-  const xScale = (x) => left + (x / xMax) * plotWidth;
-  const yScale = (y) => top + ((yMax - y) / (yMax - yMin)) * plotHeight;
-  const xTicks = [0, 4, 8, 12, 16, 20, 24, 28].filter((value) => value <= xMax);
-  const yTicks = [-6, -4, -2, 0, 2, 4].filter((value) => value >= yMin && value <= yMax);
-  const grid = [
-    ...xTicks.map((tick) => `<g class="theory-gridline"><line x1="${xScale(tick)}" y1="${top}" x2="${xScale(tick)}" y2="${height - bottom}"/><text x="${xScale(tick)}" y="${height - 20}" text-anchor="middle">${tick}</text></g>`),
-    ...yTicks.map((tick) => `<g class="theory-gridline"><line x1="${left}" y1="${yScale(tick)}" x2="${width - right}" y2="${yScale(tick)}"/><text x="${left - 9}" y="${yScale(tick) + 3}" text-anchor="end">${tick > 0 ? "+" : ""}${tick}s</text></g>`),
-  ].join("");
-
-  const threshold = Number(discovery.theory.best_single_threshold.threshold);
-  const fit = discovery.theory.linear_wait_delta_fit;
-  const fitY = (x) => Number(fit.intercept_seconds) + Number(fit.slope_seconds_per_bidirectional_pax_per_min) * x;
-  const regression = `<line class="theory-fit" x1="${xScale(0)}" y1="${yScale(fitY(0))}" x2="${xScale(xMax)}" y2="${yScale(fitY(xMax))}"/>`;
-  const zero = `<line class="theory-zero" x1="${left}" y1="${yScale(0)}" x2="${width - right}" y2="${yScale(0)}"/>`;
-  const thresholdLine = `<g class="theory-threshold"><line x1="${xScale(threshold)}" y1="${top}" x2="${xScale(threshold)}" y2="${height - bottom}"/><text x="${xScale(threshold) + 6}" y="${top + 13}">high-effect trigger ≈ ${threshold.toFixed(2)}</text></g>`;
-
-  const discoveryMarks = discoveryCells.map((cell) => {
-    const x = xScale(Number(cell.demand.bidirectional_load_rate));
-    const y = yScale(Number(cell.capr_vs_static.metrics.avg_wait.delta_mean));
-    const supported = Boolean(cell.capr_vs_static.supported_wait_gain);
-    const loss = Boolean(cell.capr_vs_static.supported_wait_loss);
-    const state = supported ? "gain" : loss ? "loss" : "uncertain";
-    return `<circle class="theory-point discovery ${state}" data-kind="discovery" cx="${x}" cy="${y}" r="4.1"><title>discovery · λ ${cell.demand.arrivals_per_minute}/min · p↑ ${cell.demand.lobby_up_probability} · B ${cell.demand.bidirectional_load_rate} · ΔAWT ${Number(cell.capr_vs_static.metrics.avg_wait.delta_mean).toFixed(2)}s</title></circle>`;
-  }).join("");
-  const validationMarks = validationCells.map((cell) => {
-    const x = xScale(Number(cell.demand.bidirectional_load_rate));
-    const y = yScale(Number(cell.capr_vs_static.metrics.avg_wait.delta_mean));
-    const supported = Boolean(cell.capr_vs_static.supported_wait_gain);
-    const size = 4.8;
-    return `<rect class="theory-point validation ${supported ? "gain" : "uncertain"}" data-kind="validation" x="${x - size}" y="${y - size}" width="${size * 2}" height="${size * 2}" transform="rotate(45 ${x} ${y})"><title>held-out · λ ${cell.demand.arrivals_per_minute}/min · p↑ ${cell.demand.lobby_up_probability} · B ${cell.demand.bidirectional_load_rate} · ΔAWT ${Number(cell.capr_vs_static.metrics.avg_wait.delta_mean).toFixed(2)}s</title></rect>`;
-  }).join("");
-  svg.innerHTML = `${grid}${zero}${regression}${thresholdLine}${discoveryMarks}${validationMarks}<text class="theory-axis-label" x="${width - right}" y="${height - 3}" text-anchor="end">Bidirectional load B (passengers/min) →</text><text class="theory-axis-label" transform="translate(13 ${top}) rotate(-90)" text-anchor="end">Δ average wait · lower is better</text>`;
-}
-
-function renderTheoryPhases(theory) {
-  const target = document.querySelector("#theory-phase-bins");
-  target.innerHTML = (theory.phase_bins || []).map((bin) => {
-    const upper = bin.upper == null ? "∞" : Number(bin.upper).toFixed(0);
-    const delta = Number(bin.mean_avg_wait_delta_seconds);
-    const clean = Number(bin.clean_gain_cells || 0);
-    const state = Number(bin.lower) < 4 ? "static" : Number(bin.lower) < 12 ? "transition" : "predictive";
-    return `<article class="phase-bin ${state}"><div><span>B ${Number(bin.lower).toFixed(0)}–${upper}</span><b>${state}</b></div><strong>${signedSeconds(delta)}</strong><small>mean ΔAWT · ${clean}/${bin.cells} clean-gain cells · E×${Number(bin.mean_energy_ratio).toFixed(2)}</small></article>`;
-  }).join("");
-}
-
-function renderCanonicalTheory(threshold) {
-  const scenarios = [
-    { name: "Morning", lambda: 22, p: 0.97 },
-    { name: "Lunch", lambda: 16, p: 0.45 },
-    { name: "Normal", lambda: 5, p: 0.35 },
-    { name: "Evening", lambda: 22, p: 0.03 },
-  ];
-  const target = document.querySelector("#canonical-theory-row");
-  target.innerHTML = scenarios.map((scenario) => {
-    const b = scenario.lambda * 4 * scenario.p * (1 - scenario.p);
-    const phase = theoryPhaseLabel(b);
-    const relation = b >= threshold ? "above trigger" : "below trigger";
-    return `<article><span>${scenario.name}</span><strong>B ${b.toFixed(2)}</strong><small>${phase} · ${relation}</small></article>`;
-  }).join("");
-}
-
-async function loadTheory() {
-  try {
-    const response = await fetch("/api/theory", { cache: "no-store" });
-    if (!response.ok) return;
-    theoryPayload = await response.json();
-    renderTheory();
-  } catch (error) {
-    console.error(error);
-  }
-}
-
-async function refresh() {
-  if (displayMode !== "live") return;
-  try {
-    const response = await fetch("/api/snapshot", { cache: "no-store" });
-    const snapshot = response.ok ? await response.json() : null;
-    // A refresh may have started in live mode just before the user enters replay.
-    // Re-check the mode after the network await so a late live response cannot
-    // overwrite the deterministic replay frame on a public/remote connection.
-    if (snapshot && displayMode === "live") render(snapshot);
-  } catch (error) {
-    console.error(error);
-  }
-}
-
-controls.scenario.addEventListener("change", () => sendControl("reset"));
-controls.policy.addEventListener("change", () => sendControl("reset"));
-controls.controlMode.addEventListener("change", () => sendControl("reset"));
-controls.speed.addEventListener("change", () => sendControl("update"));
-controls.reset.addEventListener("click", () => sendControl("reset"));
-controls.pause.addEventListener("click", async () => {
-  const action = controls.pause.textContent === "Pause" ? "pause" : "start";
-  await sendControl(action);
-});
-replayControls.save.addEventListener("click", saveReplay);
-replayControls.enter.addEventListener("click", enterReplay);
-replayControls.live.addEventListener("click", returnLive);
-replayControls.slider.addEventListener("input", () => renderReplayFrame(Number(replayControls.slider.value)));
-document.querySelector("#evidence-scenario").addEventListener("change", (event) => renderEvidenceScenario(event.target.value));
-window.addEventListener("resize", () => {
-  if (displayMode === "live" && latestLiveSnapshot) drawAssignmentLinks(latestLiveSnapshot.calls || []);
-  else if (displayMode === "replay" && savedReplay) drawAssignmentLinks(savedReplay.frames[Number(replayControls.slider.value)]?.calls || []);
-});
-
-buildBuilding();
-refresh();
-loadEvidence();
-loadTheory();
-setInterval(refresh, 300);
diff --git a/web/assets/index-DA7_P41y.js b/web/assets/index-DA7_P41y.js
new file mode 100644
index 0000000..d6b0b8c
--- /dev/null
+++ b/web/assets/index-DA7_P41y.js
@@ -0,0 +1,78 @@
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e;e=e.return}e.sibling.return=e.return,e=e.sibling}switch(u){case"forwards":for(a=n.child,u=null;a!==null;)e=a.alternate,e!==null&&Uo(e)===null&&(u=a),a=a.sibling;a=u,a===null?(u=n.child,n.child=null):(u=a.sibling,a.sibling=null),Iu(n,!1,u,a,d,o);break;case"backwards":case"unstable_legacy-backwards":for(a=null,u=n.child,n.child=null;u!==null;){if(e=u.alternate,e!==null&&Uo(e)===null){n.child=u;break}e=u.sibling,u.sibling=a,a=u,u=e}Iu(n,!0,a,null,d,o);break;case"together":Iu(n,!1,null,null,void 0,o);break;default:n.memoizedState=null}return n.child}function Qn(e,n,a){if(e!==null&&(n.dependencies=e.dependencies),wi|=n.lanes,(a&n.childLanes)===0)if(e!==null){if(Ga(e,n,a,!1),(a&n.childLanes)===0)return null}else return null;if(e!==null&&n.child!==e.child)throw Error(r(153));if(n.child!==null){for(e=n.child,a=Ln(e,e.pendingProps),n.child=a,a.return=n;e.sibling!==null;)e=e.sibling,a=a.sibling=Ln(e,e.pendingProps),a.return=n;a.sibling=null}return n.child}function Fu(e,n){return(e.lanes&n)!==0?!0:(e=e.dependencies,!!(e!==null&&Co(e)))}function V_(e,n,a){switch(n.tag){case 3:F(n,n.stateNode.containerInfo),mi(n,rt,e.memoizedState.cache),na();break;case 27:case 5:be(n);break;case 4:F(n,n.stateNode.containerInfo);break;case 10:mi(n,n.type,n.memoizedProps.value);break;case 31:if(n.memoizedState!==null)return n.flags|=128,Su(n),null;break;case 13:var o=n.memoizedState;if(o!==null)return o.dehydrated!==null?(xi(n),n.flags|=128,null):(a&n.child.childLanes)!==0?Fp(e,n,a):(xi(n),e=Qn(e,n,a),e!==null?e.sibling:null);xi(n);break;case 19:var u=(e.flags&128)!==0;if(o=(a&n.childLanes)!==0,o||(Ga(e,n,a,!1),o=(a&n.childLanes)!==0),u){if(o)return Pp(e,n,a);n.flags|=128}if(u=n.memoizedState,u!==null&&(u.rendering=null,u.tail=null,u.lastEffect=null),P(tt,tt.current),o)break;return null;case 22:return n.lanes=0,Xp(e,n,a,n.pendingProps);case 24:mi(n,rt,e.memoizedState.cache)}return Qn(e,n,a)}function em(e,n,a){if(e!==null)if(e.memoizedProps!==n.pendingProps)st=!0;else{if(!Fu(e,a)&&(n.flags&128)===0)return st=!1,V_(e,n,a);st=(e.flags&131072)!==0}else st=!1,Oe&&(n.flags&1048576)!==0&&Oh(n,Il,n.index);switch(n.lanes=0,n.tag){case 16:e:{var o=n.pendingProps;if(e=ra(n.elementType),n.type=e,typeof e=="function")nu(e)?(o=ua(e,o),n.tag=1,n=Jp(null,n,e,o,a)):(n.tag=0,n=Yu(null,n,e,o,a));else{if(e!=null){var u=e.$$typeof;if(u===M){n.tag=11,n=qp(null,n,e,o,a);break e}else if(u===Z){n.tag=14,n=Vp(null,n,e,o,a);break e}}throw n=C(e)||e,Error(r(306,n,""))}}return n;case 0:return Yu(e,n,n.type,n.pendingProps,a);case 1:return o=n.type,u=ua(o,n.pendingProps),Jp(e,n,o,u,a);case 3:e:{if(F(n,n.stateNode.containerInfo),e===null)throw Error(r(387));o=n.pendingProps;var d=n.memoizedState;u=d.element,yu(e,n),ar(n,o,null,a);var y=n.memoizedState;if(o=y.cache,mi(n,rt,o),o!==d.cache&&fu(n,[rt],a,!0),ir(),o=y.element,d.isDehydrated)if(d={element:o,isDehydrated:!1,cache:y.cache},n.updateQueue.baseState=d,n.memoizedState=d,n.flags&256){n=Ip(e,n,o,a);break e}else if(o!==u){u=an(Error(r(424)),n),Fl(u),n=Ip(e,n,o,a);break e}else for(e=n.stateNode.containerInfo,e.nodeType===9?e=e.body:e=e.nodeName==="HTML"?e.ownerDocument.body:e,Xe=cn(e.firstChild),gt=n,Oe=!0,hi=null,on=!0,a=Xh(n,null,o,a),n.child=a;a;)a.flags=a.flags&-3|4096,a=a.sibling;else{if(na(),o===u){n=Qn(e,n,a);break e}vt(e,n,o,a)}n=n.child}return n;case 26:return Io(e,n),e===null?(a=fg(n.type,null,n.pendingProps,null))?n.memoizedState=a:Oe||(a=n.type,e=n.pendingProps,o=hs(de.current).createElement(a),o[dt]=n,o[bt]=e,xt(o,a,e),lt(o),n.stateNode=o):n.memoizedState=fg(n.type,e.memoizedProps,n.pendingProps,e.memoizedState),null;case 27:return be(n),e===null&&Oe&&(o=n.stateNode=sg(n.type,n.pendingProps,de.current),gt=n,on=!0,u=Xe,Ai(n.type)?(Cf=u,Xe=cn(o.firstChild)):Xe=u),vt(e,n,n.pendingProps.children,a),Io(e,n),e===null&&(n.flags|=4194304),n.child;case 5:return e===null&&Oe&&((u=o=Xe)&&(o=x1(o,n.type,n.pendingProps,on),o!==null?(n.stateNode=o,gt=n,Xe=cn(o.firstChild),on=!1,u=!0):u=!1),u||pi(n)),be(n),u=n.type,d=n.pendingProps,y=e!==null?e.memoizedProps:null,o=d.children,zf(u,d)?o=null:y!==null&&zf(u,y)&&(n.flags|=32),n.memoizedState!==null&&(u=Eu(e,n,R_,null,null,a),Er._currentValue=u),Io(e,n),vt(e,n,o,a),n.child;case 6:return e===null&&Oe&&((e=a=Xe)&&(a=_1(a,n.pendingProps,on),a!==null?(n.stateNode=a,gt=n,Xe=null,e=!0):e=!1),e||pi(n)),null;case 13:return Fp(e,n,a);case 4:return F(n,n.stateNode.containerInfo),o=n.pendingProps,e===null?n.child=sa(n,null,o,a):vt(e,n,o,a),n.child;case 11:return qp(e,n,n.type,n.pendingProps,a);case 7:return vt(e,n,n.pendingProps,a),n.child;case 8:return vt(e,n,n.pendingProps.children,a),n.child;case 12:return vt(e,n,n.pendingProps.children,a),n.child;case 10:return o=n.pendingProps,mi(n,n.type,o.value),vt(e,n,o.children,a),n.child;case 9:return u=n.type._context,o=n.pendingProps.children,aa(n),u=yt(u),o=o(u),n.flags|=1,vt(e,n,o,a),n.child;case 14:return Vp(e,n,n.type,n.pendingProps,a);case 15:return Yp(e,n,n.type,n.pendingProps,a);case 19:return Pp(e,n,a);case 31:return q_(e,n,a);case 22:return Xp(e,n,a,n.pendingProps);case 24:return aa(n),o=yt(rt),e===null?(u=pu(),u===null&&(u=Ye,d=du(),u.pooledCache=d,d.refCount++,d!==null&&(u.pooledCacheLanes|=a),u=d),n.memoizedState={parent:o,cache:u},gu(n),mi(n,rt,u)):((e.lanes&a)!==0&&(yu(e,n),ar(n,null,null,a),ir()),u=e.memoizedState,d=n.memoizedState,u.parent!==o?(u={parent:o,cache:o},n.memoizedState=u,n.lanes===0&&(n.memoizedState=n.updateQueue.baseState=u),mi(n,rt,o)):(o=d.cache,mi(n,rt,o),o!==u.cache&&fu(n,[rt],a,!0))),vt(e,n,n.pendingProps.children,a),n.child;case 29:throw n.pendingProps}throw Error(r(156,n.tag))}function Kn(e){e.flags|=4}function Wu(e,n,a,o,u){if((n=(e.mode&32)!==0)&&(n=!1),n){if(e.flags|=16777216,(u&335544128)===u)if(e.stateNode.complete)e.flags|=8192;else if(Nm())e.flags|=8192;else throw oa=Ho,mu}else e.flags&=-16777217}function tm(e,n){if(n.type!=="stylesheet"||(n.state.loading&4)!==0)e.flags&=-16777217;else if(e.flags|=16777216,!gg(n))if(Nm())e.flags|=8192;else throw oa=Ho,mu}function Wo(e,n){n!==null&&(e.flags|=4),e.flags&16384&&(n=e.tag!==22?ao():536870912,e.lanes|=n,al|=n)}function ur(e,n){if(!Oe)switch(e.tailMode){case"hidden":n=e.tail;for(var a=null;n!==null;)n.alternate!==null&&(a=n),n=n.sibling;a===null?e.tail=null:a.sibling=null;break;case"collapsed":a=e.tail;for(var o=null;a!==null;)a.alternate!==null&&(o=a),a=a.sibling;o===null?n||e.tail===null?e.tail=null:e.tail.sibling=null:o.sibling=null}}function Ge(e){var n=e.alternate!==null&&e.alternate.child===e.child,a=0,o=0;if(n)for(var u=e.child;u!==null;)a|=u.lanes|u.childLanes,o|=u.subtreeFlags&65011712,o|=u.flags&65011712,u.return=e,u=u.sibling;else for(u=e.child;u!==null;)a|=u.lanes|u.childLanes,o|=u.subtreeFlags,o|=u.flags,u.return=e,u=u.sibling;return e.subtreeFlags|=o,e.childLanes=a,n}function Y_(e,n,a){var o=n.pendingProps;switch(ru(n),n.tag){case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return Ge(n),null;case 1:return Ge(n),null;case 3:return a=n.stateNode,o=null,e!==null&&(o=e.memoizedState.cache),n.memoizedState.cache!==o&&(n.flags|=2048),Yn(rt),ue(),a.pendingContext&&(a.context=a.pendingContext,a.pendingContext=null),(e===null||e.child===null)&&(Xa(n)?Kn(n):e===null||e.memoizedState.isDehydrated&&(n.flags&256)===0||(n.flags|=1024,su())),Ge(n),null;case 26:var u=n.type,d=n.memoizedState;return e===null?(Kn(n),d!==null?(Ge(n),tm(n,d)):(Ge(n),Wu(n,u,null,o,a))):d?d!==e.memoizedState?(Kn(n),Ge(n),tm(n,d)):(Ge(n),n.flags&=-16777217):(e=e.memoizedProps,e!==o&&Kn(n),Ge(n),Wu(n,u,e,o,a)),null;case 27:if(Se(n),a=de.current,u=n.type,e!==null&&n.stateNode!=null)e.memoizedProps!==o&&Kn(n);else{if(!o){if(n.stateNode===null)throw Error(r(166));return Ge(n),null}e=ne.current,Xa(n)?Rh(n):(e=sg(u,o,a),n.stateNode=e,Kn(n))}return Ge(n),null;case 5:if(Se(n),u=n.type,e!==null&&n.stateNode!=null)e.memoizedProps!==o&&Kn(n);else{if(!o){if(n.stateNode===null)throw Error(r(166));return Ge(n),null}if(d=ne.current,Xa(n))Rh(n);else{var y=hs(de.current);switch(d){case 1:d=y.createElementNS("http://www.w3.org/2000/svg",u);break;case 2:d=y.createElementNS("http://www.w3.org/1998/Math/MathML",u);break;default:switch(u){case"svg":d=y.createElementNS("http://www.w3.org/2000/svg",u);break;case"math":d=y.createElementNS("http://www.w3.org/1998/Math/MathML",u);break;case"script":d=y.createElement("div"),d.innerHTML="<script><\/script>",d=d.removeChild(d.firstChild);break;case"select":d=typeof o.is=="string"?y.createElement("select",{is:o.is}):y.createElement("select"),o.multiple?d.multiple=!0:o.size&&(d.size=o.size);break;default:d=typeof o.is=="string"?y.createElement(u,{is:o.is}):y.createElement(u)}}d[dt]=n,d[bt]=o;e:for(y=n.child;y!==null;){if(y.tag===5||y.tag===6)d.appendChild(y.stateNode);else if(y.tag!==4&&y.tag!==27&&y.child!==null){y.child.return=y,y=y.child;continue}if(y===n)break e;for(;y.sibling===null;){if(y.return===null||y.return===n)break e;y=y.return}y.sibling.return=y.return,y=y.sibling}n.stateNode=d;e:switch(xt(d,u,o),u){case"button":case"input":case"select":case"textarea":o=!!o.autoFocus;break e;case"img":o=!0;break e;default:o=!1}o&&Kn(n)}}return Ge(n),Wu(n,n.type,e===null?null:e.memoizedProps,n.pendingProps,a),null;case 6:if(e&&n.stateNode!=null)e.memoizedProps!==o&&Kn(n);else{if(typeof o!="string"&&n.stateNode===null)throw Error(r(166));if(e=de.current,Xa(n)){if(e=n.stateNode,a=n.memoizedProps,o=null,u=gt,u!==null)switch(u.tag){case 27:case 5:o=u.memoizedProps}e[dt]=n,e=!!(e.nodeValue===a||o!==null&&o.suppressHydrationWarning===!0||Fm(e.nodeValue,a)),e||pi(n,!0)}else e=hs(e).createTextNode(o),e[dt]=n,n.stateNode=e}return Ge(n),null;case 31:if(a=n.memoizedState,e===null||e.memoizedState!==null){if(o=Xa(n),a!==null){if(e===null){if(!o)throw Error(r(318));if(e=n.memoizedState,e=e!==null?e.dehydrated:null,!e)throw Error(r(557));e[dt]=n}else na(),(n.flags&128)===0&&(n.memoizedState=null),n.flags|=4;Ge(n),e=!1}else a=su(),e!==null&&e.memoizedState!==null&&(e.memoizedState.hydrationErrors=a),e=!0;if(!e)return n.flags&256?(Gt(n),n):(Gt(n),null);if((n.flags&128)!==0)throw Error(r(558))}return Ge(n),null;case 13:if(o=n.memoizedState,e===null||e.memoizedState!==null&&e.memoizedState.dehydrated!==null){if(u=Xa(n),o!==null&&o.dehydrated!==null){if(e===null){if(!u)throw Error(r(318));if(u=n.memoizedState,u=u!==null?u.dehydrated:null,!u)throw Error(r(317));u[dt]=n}else na(),(n.flags&128)===0&&(n.memoizedState=null),n.flags|=4;Ge(n),u=!1}else u=su(),e!==null&&e.memoizedState!==null&&(e.memoizedState.hydrationErrors=u),u=!0;if(!u)return n.flags&256?(Gt(n),n):(Gt(n),null)}return Gt(n),(n.flags&128)!==0?(n.lanes=a,n):(a=o!==null,e=e!==null&&e.memoizedState!==null,a&&(o=n.child,u=null,o.alternate!==null&&o.alternate.memoizedState!==null&&o.alternate.memoizedState.cachePool!==null&&(u=o.alternate.memoizedState.cachePool.pool),d=null,o.memoizedState!==null&&o.memoizedState.cachePool!==null&&(d=o.memoizedState.cachePool.pool),d!==u&&(o.flags|=2048)),a!==e&&a&&(n.child.flags|=8192),Wo(n,n.updateQueue),Ge(n),null);case 4:return ue(),e===null&&bf(n.stateNode.containerInfo),Ge(n),null;case 10:return Yn(n.type),Ge(n),null;case 19:if(H(tt),o=n.memoizedState,o===null)return Ge(n),null;if(u=(n.flags&128)!==0,d=o.rendering,d===null)if(u)ur(o,!1);else{if(Pe!==0||e!==null&&(e.flags&128)!==0)for(e=n.child;e!==null;){if(d=Uo(e),d!==null){for(n.flags|=128,ur(o,!1),e=d.updateQueue,n.updateQueue=e,Wo(n,e),n.subtreeFlags=0,e=a,a=n.child;a!==null;)Th(a,e),a=a.sibling;return P(tt,tt.current&1|2),Oe&&qn(n,o.treeForkCount),n.child}e=e.sibling}o.tail!==null&&et()>is&&(n.flags|=128,u=!0,ur(o,!1),n.lanes=4194304)}else{if(!u)if(e=Uo(d),e!==null){if(n.flags|=128,u=!0,e=e.updateQueue,n.updateQueue=e,Wo(n,e),ur(o,!0),o.tail===null&&o.tailMode==="hidden"&&!d.alternate&&!Oe)return Ge(n),null}else 2*et()-o.renderingStartTime>is&&a!==536870912&&(n.flags|=128,u=!0,ur(o,!1),n.lanes=4194304);o.isBackwards?(d.sibling=n.child,n.child=d):(e=o.last,e!==null?e.sibling=d:n.child=d,o.last=d)}return 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+        if (${M}.issues.length) {
+          if (${U} in input) {
+            payload.issues = payload.issues.concat(${M}.issues.map(iss => ({
+              ...iss,
+              path: iss.path ? [${U}, ...iss.path] : [${U}]
+            })));
+          }
+        }
+        
+        if (${M}.value === undefined) {
+          if (${U} in input) {
+            newResult[${U}] = undefined;
+          }
+        } else {
+          newResult[${U}] = ${M}.value;
+        }
+        
+      `):Z?S.write(`
+        if (${M}.issues.length) {
+          payload.issues = payload.issues.concat(${M}.issues.map(iss => ({
+            ...iss,
+            path: iss.path ? [${U}, ...iss.path] : [${U}]
+          })));
+        }
+        
+        if (${M}.value === undefined) {
+          if (${U} in input) {
+            newResult[${U}] = undefined;
+          }
+        } else {
+          newResult[${U}] = ${M}.value;
+        }
+        
+      `):S.write(`
+        const ${M}_present = ${U} in input;
+        if (${M}.issues.length) {
+          payload.issues = payload.issues.concat(${M}.issues.map(iss => ({
+            ...iss,
+            path: iss.path ? [${U}, ...iss.path] : [${U}]
+          })));
+        }
+        if (!${M}_present && !${M}.issues.length) {
+          payload.issues.push({
+            code: "invalid_type",
+            expected: "nonoptional",
+            input: undefined,
+            path: [${U}]
+          });
+        }
+
+        if (${M}_present) {
+          if (${M}.value === undefined) {
+            newResult[${U}] = undefined;
+          } else {
+            newResult[${U}] = ${M}.value;
+          }
+        }
+
+      `)}S.write("payload.value = newResult;"),S.write("return payload;");const O=S.compile();return(E,M)=>O(x,E,M)};let c;const f=Ur,p=!wd.jitless,m=p&&ab.value,v=i.catchall;let _;t._zod.parse=(x,S)=>{_??(_=r.value);const b=x.value;return f(b)?p&&m&&S?.async===!1&&S.jitless!==!0?(c||(c=s(i.shape)),x=c(x,S),v?$y([],b,x,S,_,t):x):l(x,S):(x.issues.push({expected:"object",code:"invalid_type",input:b,inst:t}),x)}});function Xg(t,i,l,r){for(const c of t)if(c.issues.length===0)return i.value=c.value,i;const s=t.filter(c=>!ml(c));return s.length===1?(i.value=s[0].value,s[0]):(i.issues.push({code:"invalid_union",input:i.value,inst:l,errors:t.map(c=>c.issues.map(f=>va(f,r,ya())))}),i)}const Zy=oe("$ZodUnion",(t,i)=>{it.init(t,i),Ue(t._zod,"optin",()=>i.options.some(r=>r._zod.optin==="optional")?"optional":void 0),Ue(t._zod,"optout",()=>i.options.some(r=>r._zod.optout==="optional")?"optional":void 0),Ue(t._zod,"values",()=>{if(i.options.every(r=>r._zod.values))return new Set(i.options.flatMap(r=>Array.from(r._zod.values)))}),Ue(t._zod,"pattern",()=>{if(i.options.every(r=>r._zod.pattern)){const r=i.options.map(s=>s._zod.pattern);return new RegExp(`^(${r.map(s=>jd(s.source)).join("|")})$`)}});const l=i.options.length===1?i.options[0]._zod.run:null;t._zod.parse=(r,s)=>{if(l)return l(r,s);let c=!1;const f=[];for(const p of i.options){const g=p._zod.run({value:r.value,issues:[]},s);if(g instanceof Promise)f.push(g),c=!0;else{if(g.issues.length===0)return g;f.push(g)}}return c?Promise.all(f).then(p=>Xg(p,r,t,s)):Xg(f,r,t,s)}}),LS=oe("$ZodDiscriminatedUnion",(t,i)=>{i.inclusive=!1,Zy.init(t,i);const l=t._zod.parse;Ue(t._zod,"propValues",()=>{const s={};for(const c of i.options){const f=c._zod.propValues;if(!f||Object.keys(f).length===0)throw new Error(`Invalid discriminated union option at index "${i.options.indexOf(c)}"`);for(const[p,g]of Object.entries(f)){s[p]||(s[p]=new Set);for(const m of g)s[p].add(m)}}return s});const r=oc(()=>{const s=i.options,c=new Map;for(const f of s){const p=f._zod.propValues?.[i.discriminator];if(!p||p.size===0)throw new Error(`Invalid discriminated union option at index "${i.options.indexOf(f)}"`);for(const g of p){if(c.has(g))throw new Error(`Duplicate discriminator value "${String(g)}"`);c.set(g,f)}}return c});t._zod.parse=(s,c)=>{const f=s.value;if(!Ur(f))return s.issues.push({code:"invalid_type",expected:"object",input:f,inst:t}),s;const p=r.value.get(f?.[i.discriminator]);return p?p._zod.run(s,c):i.unionFallback||c.direction==="backward"?l(s,c):(s.issues.push({code:"invalid_union",errors:[],note:"No matching discriminator",discriminator:i.discriminator,options:Array.from(r.value.keys()),input:f,path:[i.discriminator],inst:t}),s)}}),qS=oe("$ZodIntersection",(t,i)=>{it.init(t,i),t._zod.parse=(l,r)=>{const s=l.value,c=i.left._zod.run({value:s,issues:[]},r),f=i.right._zod.run({value:s,issues:[]},r);return c instanceof Promise||f instanceof Promise?Promise.all([c,f]).then(([g,m])=>Gg(l,g,m)):Gg(l,c,f)}});function od(t,i){if(t===i)return{valid:!0,data:t};if(t instanceof Date&&i instanceof Date&&+t==+i)return{valid:!0,data:t};if(Br(t)&&Br(i)){const l=Object.keys(i),r=Object.keys(t).filter(c=>l.indexOf(c)!==-1),s={...t,...i};for(const c of r){const f=od(t[c],i[c]);if(!f.valid)return{valid:!1,mergeErrorPath:[c,...f.mergeErrorPath]};s[c]=f.data}return{valid:!0,data:s}}if(Array.isArray(t)&&Array.isArray(i)){if(t.length!==i.length)return{valid:!1,mergeErrorPath:[]};const l=[];for(let r=0;r<t.length;r++){const s=t[r],c=i[r],f=od(s,c);if(!f.valid)return{valid:!1,mergeErrorPath:[r,...f.mergeErrorPath]};l.push(f.data)}return{valid:!0,data:l}}return{valid:!1,mergeErrorPath:[]}}function Gg(t,i,l){const r=new Map;let s;for(const p of i.issues)if(p.code==="unrecognized_keys"){s??(s=p);for(const g of p.keys)r.has(g)||r.set(g,{}),r.get(g).l=!0}else t.issues.push(p);for(const p of l.issues)if(p.code==="unrecognized_keys")for(const g of p.keys)r.has(g)||r.set(g,{}),r.get(g).r=!0;else t.issues.push(p);const c=[...r].filter(([,p])=>p.l&&p.r).map(([p])=>p);if(c.length&&s&&t.issues.push({...s,keys:c}),ml(t))return t;const f=od(i.value,l.value);if(!f.valid)throw new Error(`Unmergable intersection. 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Kg(t,i){return t.value===void 0&&(t.value=i.defaultValue),t}const JS=oe("$ZodPrefault",(t,i)=>{it.init(t,i),t._zod.optin="optional",Ue(t._zod,"values",()=>i.innerType._zod.values),t._zod.parse=(l,r)=>(r.direction==="backward"||l.value===void 0&&(l.value=i.defaultValue),i.innerType._zod.run(l,r))}),IS=oe("$ZodNonOptional",(t,i)=>{it.init(t,i),Ue(t._zod,"values",()=>{const l=i.innerType._zod.values;return l?new Set([...l].filter(r=>r!==void 0)):void 0}),t._zod.parse=(l,r)=>{const s=i.innerType._zod.run(l,r);return s instanceof Promise?s.then(c=>Jg(c,t)):Jg(s,t)}});function Jg(t,i){return!t.issues.length&&t.value===void 0&&t.issues.push({code:"invalid_type",expected:"nonoptional",input:t.value,inst:i}),t}const FS=oe("$ZodCatch",(t,i)=>{it.init(t,i),t._zod.optin="optional",Ue(t._zod,"optout",()=>i.innerType._zod.optout),Ue(t._zod,"values",()=>i.innerType._zod.values),t._zod.parse=(l,r)=>{if(r.direction==="backward")return i.innerType._zod.run(l,r);const s=i.innerType._zod.run(l,r);return s 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Set),re=Q.useRef(!1),ae=Q.useRef(!1),C=Q.useRef({x:0,y:0}),B=Q.useRef(!1),T=F=>{if(ae.current||re.current||N.getState().connection.inProgress){ae.current=!1,re.current=!1;return}m?.(F),N.getState().resetSelectedElements(),N.setState({nodesSelectionActive:!1})},R=F=>{if(Array.isArray(r)&&r?.includes(2)){F.preventDefault();return}v?.(F)},L=_?F=>_(F):void 0,V=F=>{ae.current&&(F.stopPropagation(),ae.current=!1)},ee=F=>{if(F.pointerType==="touch"&&r!==!1&&!i)return;const{domNode:ue,transform:be}=N.getState();if(J.current=ue?.getBoundingClientRect(),!J.current)return;const Se=F.target===G.current;if(!Se&&!!F.target.closest(".nokey")||!t||!(f&&Se||i)||F.button!==0||!F.isPrimary)return;F.target?.setPointerCapture?.(F.pointerId),ae.current=!1;const{x:Ee,y:Ce}=bn(F.nativeEvent,J.current),Be=io({x:Ee,y:Ce},be);N.setState({userSelectionRect:{width:0,height:0,startX:Be.x,startY:Be.y,x:Ee,y:Ce}}),Se||(F.stopPropagation(),F.preventDefault())};function z(F,ue){const{userSelectionRect:be}=N.getState();if(!be)return;const{transform:Se,nodeLookup:me,edgeLookup:ve,connectionLookup:Ee,triggerNodeChanges:Ce,triggerEdgeChanges:Be,defaultEdgeOptions:ft}=N.getState(),Wt={x:be.startX,y:be.startY},{x:Tt,y:Mt}=Nl(Wt,Se),Lt={startX:Wt.x,startY:Wt.y,x:F<Tt?F:Tt,y:ue<Mt?ue:Mt,width:Math.abs(F-Tt),height:Math.abs(ue-Mt)},Gi=se.current,Hn=W.current;se.current=new Set(kd(me,Lt,Se,l===Qr.Partial,!0).map(qt=>qt.id)),W.current=new Set;const et=ft?.selectable??!0;for(const qt of se.current){const Pt=Ee.get(qt);if(Pt)for(const{edgeId:en}of Pt.values()){const tn=ve.get(en);tn&&(tn.selectable??et)&&W.current.add(en)}}if(!A0(Gi,se.current)){const qt=yl(me,se.current,!0);Ce(qt)}if(!A0(Hn,W.current)){const qt=yl(ve,W.current);Be(qt)}N.setState({userSelectionRect:Lt,userSelectionActive:!0,nodesSelectionActive:!1})}function H(){if(!s||!J.current)return;const[F,ue]=Ud(C.current,J.current,k);U({x:F,y:ue}).then(be=>{if(!ae.current||!be){j.current=requestAnimationFrame(H);return}const{x:Se,y:me}=C.current;z(Se,me),j.current=requestAnimationFrame(H)})}const P=()=>{cancelAnimationFrame(j.current),j.current=0,B.current=!1};Q.useEffect(()=>()=>P(),[]);const ne=F=>{const{userSelectionRect:ue,transform:be,resetSelectedElements:Se}=N.getState();if(!J.current||!ue)return;const{x:me,y:ve}=bn(F.nativeEvent,J.current);C.current={x:me,y:ve};const Ee=Nl({x:ue.startX,y:ue.startY},be);if(!ae.current){const Ce=i?0:c;if(Math.hypot(me-Ee.x,ve-Ee.y)<=Ce)return;Se(),p?.(F)}ae.current=!0,B.current||(H(),B.current=!0),z(me,ve)},ce=F=>{if(!Z){F.target===G.current&&N.getState().connection.inProgress&&(re.current=!0);return}F.button===0&&(F.target?.releasePointerCapture?.(F.pointerId),!O&&F.target===G.current&&N.getState().userSelectionRect&&T?.(F),N.setState({userSelectionActive:!1,userSelectionRect:null}),ae.current&&(g?.(F),N.setState({nodesSelectionActive:se.current.size>0})),P())},de=F=>{F.target?.releasePointerCapture?.(F.pointerId),P()},fe=r===!0||Array.isArray(r)&&r.includes(0);return h.jsxs("div",{className:ut(["react-flow__pane",{draggable:fe,dragging:M,selection:t}]),onClick:Z?void 0:ad(T,G),onContextMenu:ad(R,G),onWheel:ad(L,G),onPointerEnter:Z?void 0:x,onPointerMove:Z?ne:S,onPointerUp:ce,onPointerCancel:Z?de:void 0,onPointerDownCapture:Z?ee:void 0,onClickCapture:Z?V:void 0,onPointerLeave:b,ref:G,style:wc,children:[A,h.jsx(w3,{})]})}function Sd({id:t,store:i,unselect:l=!1,nodeRef:r}){const{addSelectedNodes:s,unselectNodesAndEdges:c,multiSelectionActive:f,nodeLookup:p,onError:g}=i.getState(),m=p.get(t);if(!m){g?.("012",Sn.error012(t));return}i.setState({nodesSelectionActive:!1}),m.selected?(l||m.selected&&f)&&(c({nodes:[m],edges:[]}),requestAnimationFrame(()=>r?.current?.blur())):s([t])}function dx({nodeRef:t,disabled:i=!1,noDragClassName:l,handleSelector:r,nodeId:s,isSelectable:c,nodeClickDistance:f}){const p=Qe(),[g,m]=Q.useState(!1),v=Q.useRef();return Q.useEffect(()=>{if(!i)return v.current=uT({getStoreItems:()=>p.getState(),onNodeMouseDown:_=>{Sd({id:_,store:p,nodeRef:t})},onDragStart:()=>{m(!0)},onDragStop:()=>{m(!1)}}),()=>{v.current?.destroy(),v.current=void 0}},[i,p,t]),Q.useEffect(()=>{i||!t.current||!v.current||v.current.update({noDragClassName:l,handleSelector:r,domNode:t.current,isSelectable:c,nodeId:s,nodeClickDistance:f})},[l,r,i,c,t,s,f]),g}const z3=t=>i=>i.selected&&(i.draggable||t&&typeof i.draggable>"u");function hx(){const t=Qe();return Q.useCallback(l=>{const{nodeExtent:r,snapToGrid:s,snapGrid:c,nodesDraggable:f,onError:p,updateNodePositions:g,nodeLookup:m,nodeOrigin:v}=t.getState(),_=new Map,x=z3(f),S=s?c[0]:5,b=s?c[1]:5,A=l.direction.x*S*l.factor,j=l.direction.y*b*l.factor;for(const[,N]of m){if(!x(N))continue;let O={x:N.internals.positionAbsolute.x+A,y:N.internals.positionAbsolute.y+j};s&&(O=no(O,c));const{position:E,positionAbsolute:M}=Ov({nodeId:N.id,nextPosition:O,nodeLookup:m,nodeExtent:r,nodeOrigin:v,onError:p});N.position=E,N.internals.positionAbsolute=M,_.set(N.id,N)}g(_)},[])}const Kd=Q.createContext(null),N3=Kd.Provider;Kd.Consumer;const px=()=>Q.useContext(Kd),A3=t=>({connectOnClick:t.connectOnClick,noPanClassName:t.noPanClassName,rfId:t.rfId}),mx=Q.createContext(null);function T3({children:t}){const i=De(A3,Ie);return h.jsx(mx.Provider,{value:i,children:t})}function M3(){const t=Q.useContext(mx);if(!t)throw new Error("useHandleConfig must be used within 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b=f||null,A=t==="target",j=Qe(),N=px(),{connectOnClick:O,noPanClassName:E,rfId:M}=M3(),{connectingFrom:U,connectingTo:k,clickConnecting:Z,isPossibleEndHandle:G,connectionInProcess:J,clickConnectionInProcess:se,valid:W}=De(O3(N,b,t),Ie);N||j.getState().onError?.("010",Sn.error010());const re=B=>{const{defaultEdgeOptions:T,onConnect:R,hasDefaultEdges:L}=j.getState(),V={...T,...B};if(L){const{edges:ee,setEdges:z,onError:H}=j.getState();z(f3(V,ee,{onError:H}))}R?.(V),p?.(V)},ae=B=>{if(!N)return;const T=Lv(B.nativeEvent);if(s&&(T&&B.button===0||!T)){const R=j.getState();bd.onPointerDown(B.nativeEvent,{handleDomNode:B.currentTarget,autoPanOnConnect:R.autoPanOnConnect,connectionMode:R.connectionMode,connectionRadius:R.connectionRadius,domNode:R.domNode,nodeLookup:R.nodeLookup,lib:R.lib,isTarget:A,handleId:b,nodeId:N,flowId:R.rfId,panBy:R.panBy,cancelConnection:R.cancelConnection,onConnectStart:R.onConnectStart,onConnectEnd:(...L)=>j.getState().onConnectEnd?.(...L),updateConnection:R.updateConnection,onConnect:re,isValidConnection:l||((...L)=>j.getState().isValidConnection?.(...L)??!0),getTransform:()=>j.getState().transform,getFromHandle:()=>j.getState().connection.fromHandle,autoPanSpeed:R.autoPanSpeed,dragThreshold:R.connectionDragThreshold})}T?v?.(B):_?.(B)},C=B=>{const{onClickConnectStart:T,onClickConnectEnd:R,connectionClickStartHandle:L,connectionMode:V,isValidConnection:ee,lib:z,rfId:H,nodeLookup:P,connection:ne}=j.getState();if(!N||!L&&!s)return;if(!L){T?.(B.nativeEvent,{nodeId:N,handleId:b,handleType:t}),j.setState({connectionClickStartHandle:{nodeId:N,type:t,id:b}});return}const ce=Uv(B.target),de=l||ee,{connection:fe,isValid:F}=bd.isValid(B.nativeEvent,{handle:{nodeId:N,id:b,type:t},connectionMode:V,fromNodeId:L.nodeId,fromHandleId:L.id||null,fromType:L.type,isValidConnection:de,flowId:H,doc:ce,lib:z,nodeLookup:P});F&&fe&&re(fe);const ue=structuredClone(ne);delete ue.inProgress,ue.toPosition=ue.toHandle?ue.toHandle.position:null,R?.(B,ue),j.setState({connectionClickStartHandle:null})};return h.jsx("div",{"data-handleid":b,"data-nodeid":N,"data-handlepos":i,"data-id":`${M}-${N}-${b}-${t}`,className:ut(["react-flow__handle",`react-flow__handle-${i}`,"nodrag",E,m,{source:!A,target:A,connectable:r,connectablestart:s,connectableend:c,clickconnecting:Z,connectingfrom:U,connectingto:k,valid:W,connectionindicator:r&&(!J||G)&&(J||se?c:s)}]),onMouseDown:ae,onTouchStart:ae,onClick:O?C:void 0,ref:S,...x,children:g})}const lc=Q.memo(cx(D3));function R3({data:t,isConnectable:i,sourcePosition:l=ye.Bottom}){return h.jsxs(h.Fragment,{children:[t?.label,h.jsx(lc,{type:"source",position:l,isConnectable:i})]})}function H3({data:t,isConnectable:i,targetPosition:l=ye.Top,sourcePosition:r=ye.Bottom}){return h.jsxs(h.Fragment,{children:[h.jsx(lc,{type:"target",position:l,isConnectable:i}),t?.label,h.jsx(lc,{type:"source",position:r,isConnectable:i})]})}function $3(){return null}function Z3({data:t,isConnectable:i,targetPosition:l=ye.Top}){return h.jsxs(h.Fragment,{children:[h.jsx(lc,{type:"target",position:l,isConnectable:i}),t?.label]})}const rc={ArrowUp:{x:0,y:-1},ArrowDown:{x:0,y:1},ArrowLeft:{x:-1,y:0},ArrowRight:{x:1,y:0}},ly={input:R3,default:H3,output:Z3,group:$3};function k3(t){return t.internals.handleBounds===void 0?{width:t.width??t.initialWidth??t.style?.width,height:t.height??t.initialHeight??t.style?.height}:{width:t.width??t.style?.width,height:t.height??t.style?.height}}const U3=t=>{const{width:i,height:l,x:r,y:s}=to(t.nodeLookup,{filter:c=>!!c.selected});return{width:_n(i)?i:null,height:_n(l)?l:null,userSelectionActive:t.userSelectionActive,transformString:`translate(${t.transform[0]}px,${t.transform[1]}px) scale(${t.transform[2]}) translate(${r}px,${s}px)`}};function B3({onSelectionContextMenu:t,noPanClassName:i,disableKeyboardA11y:l}){const r=Qe(),{width:s,height:c,transformString:f,userSelectionActive:p}=De(U3,Ie),g=hx(),m=Q.useRef(null);Q.useEffect(()=>{l||m.current?.focus({preventScroll:!0})},[l]);const v=!p&&s!==null&&c!==null;if(dx({nodeRef:m,disabled:!v}),!v)return null;const _=t?S=>{const b=r.getState().nodes.filter(A=>A.selected);t(S,b)}:void 0,x=S=>{Object.prototype.hasOwnProperty.call(rc,S.key)&&(S.preventDefault(),g({direction:rc[S.key],factor:S.shiftKey?4:1}))};return h.jsx("div",{className:ut(["react-flow__nodesselection","react-flow__container",i]),style:{transform:f},children:h.jsx("div",{ref:m,className:"react-flow__nodesselection-rect",onContextMenu:_,tabIndex:l?void 0:-1,onKeyDown:l?void 0:x,style:{width:s,height:c}})})}const ry=typeof window<"u"?window:void 0,L3=t=>({nodesSelectionActive:t.nodesSelectionActive,userSelectionActive:t.userSelectionActive});function gx({children:t,onPaneClick:i,onPaneMouseEnter:l,onPaneMouseMove:r,onPaneMouseLeave:s,onPaneContextMenu:c,onPaneScroll:f,paneClickDistance:p,deleteKeyCode:g,selectionKeyCode:m,selectionOnDrag:v,selectionMode:_,onSelectionStart:x,onSelectionEnd:S,multiSelectionKeyCode:b,panActivationKeyCode:A,zoomActivationKeyCode:j,elementsSelectable:N,zoomOnScroll:O,zoomOnPinch:E,panOnScroll:M,panOnScrollSpeed:U,panOnScrollMode:k,zoomOnDoubleClick:Z,panOnDrag:G,autoPanOnSelection:J,defaultViewport:se,translateExtent:W,minZoom:re,maxZoom:ae,preventScrolling:C,onSelectionContextMenu:B,noWheelClassName:T,noPanClassName:R,disableKeyboardA11y:L,onViewportChange:V,isControlledViewport:ee}){const{nodesSelectionActive:z,userSelectionActive:H}=De(L3,Ie),P=Ir(m,{target:ry}),ne=Ir(A,{target:ry}),ce=ne||G,de=ne||M,fe=v&&ce!==!0,F=P||H||fe;return v3({deleteKeyCode:g,multiSelectionKeyCode:b}),h.jsx(b3,{onPaneContextMenu:c,elementsSelectable:N,zoomOnScroll:O,zoomOnPinch:E,panOnScroll:de,panActivationKeyPressed:ne,panOnScrollSpeed:U,panOnScrollMode:k,zoomOnDoubleClick:Z,panOnDrag:!P&&ce,defaultViewport:se,translateExtent:W,minZoom:re,maxZoom:ae,zoomActivationKeyCode:j,preventScrolling:C,noWheelClassName:T,noPanClassName:R,onViewportChange:V,isControlledViewport:ee,paneClickDistance:p,selectionOnDrag:fe,children:h.jsxs(j3,{onSelectionStart:x,onSelectionEnd:S,onPaneClick:i,onPaneMouseEnter:l,onPaneMouseMove:r,onPaneMouseLeave:s,onPaneContextMenu:c,onPaneScroll:f,panOnDrag:ce,autoPanOnSelection:J,isSelecting:!!F,selectionMode:_,selectionKeyPressed:P,paneClickDistance:p,selectionOnDrag:fe,children:[t,z&&h.jsx(B3,{onSelectionContextMenu:B,noPanClassName:R,disableKeyboardA11y:L})]})})}gx.displayName="FlowRenderer";const q3=Q.memo(gx),V3=t=>i=>t?kd(i.nodeLookup,{x:0,y:0,width:i.width,height:i.height},i.transform,!0).map(l=>l.id):Array.from(i.nodeLookup.keys());function Y3(t){return De(Q.useCallback(V3(t),[t]),Ie)}const X3=t=>t.updateNodeInternals;function G3(){const t=De(X3),[i]=Q.useState(()=>typeof ResizeObserver>"u"?null:new ResizeObserver(l=>{const r=new Map;l.forEach(s=>{const c=s.target.getAttribute("data-id");r.set(c,{id:c,nodeElement:s.target,force:!0})}),t(r)}));return Q.useEffect(()=>()=>{i?.disconnect()},[i]),i}function Q3({node:t,nodeType:i,hasDimensions:l,resizeObserver:r}){const s=Qe(),c=Q.useRef(null),f=Q.useRef(null),p=Q.useRef(t.sourcePosition),g=Q.useRef(t.targetPosition),m=Q.useRef(i),v=l&&!!t.internals.handleBounds;return Q.useEffect(()=>{c.current&&!t.hidden&&(!v||f.current!==c.current)&&(f.current&&r?.unobserve(f.current),r?.observe(c.current),f.current=c.current)},[v,t.hidden]),Q.useEffect(()=>()=>{f.current&&(r?.unobserve(f.current),f.current=null)},[]),Q.useEffect(()=>{if(c.current){const _=m.current!==i,x=p.current!==t.sourcePosition,S=g.current!==t.targetPosition;(_||x||S)&&(m.current=i,p.current=t.sourcePosition,g.current=t.targetPosition,s.getState().updateNodeInternals(new Map([[t.id,{id:t.id,nodeElement:c.current,force:!0}]])))}},[t.id,i,t.sourcePosition,t.targetPosition]),c}function K3({id:t,onClick:i,onMouseEnter:l,onMouseMove:r,onMouseLeave:s,onContextMenu:c,onDoubleClick:f,nodesDraggable:p,elementsSelectable:g,nodesConnectable:m,nodesFocusable:v,resizeObserver:_,noDragClassName:x,noPanClassName:S,disableKeyboardA11y:b,rfId:A,nodeTypes:j,nodeClickDistance:N,onError:O}){const{node:E,internals:M,isParent:U}=De(F=>{const ue=F.nodeLookup.get(t),be=F.parentLookup.has(t);return{node:ue,internals:ue.internals,isParent:be}},Ie);let k=E.type||"default",Z=j?.[k]||ly[k];Z===void 0&&(O?.("003",Sn.error003(k)),k="default",Z=j?.default||ly.default);const G=!!(E.draggable||p&&typeof E.draggable>"u"),J=!!(E.selectable||g&&typeof E.selectable>"u"),se=!!(E.connectable||m&&typeof E.connectable>"u"),W=!!(E.focusable||v&&typeof E.focusable>"u"),re=Qe(),ae=Zv(E),C=Q3({node:E,nodeType:k,hasDimensions:ae,resizeObserver:_}),B=dx({nodeRef:C,disabled:E.hidden||!G,noDragClassName:x,handleSelector:E.dragHandle,nodeId:t,isSelectable:J,nodeClickDistance:N}),T=hx();if(E.hidden)return null;const R=En(E),L=k3(E),V=J||G||i||l||r||s,ee=l?F=>l(F,{...M.userNode}):void 0,z=r?F=>r(F,{...M.userNode}):void 0,H=s?F=>s(F,{...M.userNode}):void 0,P=c?F=>c(F,{...M.userNode}):void 0,ne=f?F=>f(F,{...M.userNode}):void 0,ce=F=>{const{selectNodesOnDrag:ue,nodeDragThreshold:be}=re.getState();J&&(!ue||!G||be>0)&&Sd({id:t,store:re,nodeRef:C}),i&&i(F,{...M.userNode})},de=F=>{if(!(Bv(F.nativeEvent)||b)){if(Nv.includes(F.key)&&J){const ue=F.key==="Escape";Sd({id:t,store:re,unselect:ue,nodeRef:C})}else if(G&&E.selected&&Object.prototype.hasOwnProperty.call(rc,F.key)){F.preventDefault();const{ariaLabelConfig:ue}=re.getState();re.setState({ariaLiveMessage:ue["node.a11yDescription.ariaLiveMessage"]({direction:F.key.replace("Arrow","").toLowerCase(),x:~~M.positionAbsolute.x,y:~~M.positionAbsolute.y})}),T({direction:rc[F.key],factor:F.shiftKey?4:1})}}},fe=()=>{if(b||!C.current?.matches(":focus-visible"))return;const{transform:F,width:ue,height:be,autoPanOnNodeFocus:Se,setCenter:me}=re.getState();if(!Se)return;kd(new Map([[t,E]]),{x:0,y:0,width:ue,height:be},F,!0).length>0||me(E.position.x+R.width/2,E.position.y+R.height/2,{zoom:F[2]})};return h.jsx("div",{className:ut(["react-flow__node",`react-flow__node-${k}`,{[S]:G},E.className,{selected:E.selected,selectable:J,parent:U,draggable:G,dragging:B}]),ref:C,style:{zIndex:M.z,transform:`translate(${M.positionAbsolute.x}px,${M.positionAbsolute.y}px)`,pointerEvents:V?"all":"none",visibility:ae?"visible":"hidden",...E.style,...L},"data-id":t,"data-testid":`rf__node-${t}`,onMouseEnter:ee,onMouseMove:z,onMouseLeave:H,onContextMenu:P,onClick:ce,onDoubleClick:ne,onKeyDown:W?de:void 0,tabIndex:W?0:void 0,onFocus:W?fe:void 0,role:E.ariaRole??(W?"group":void 0),"aria-roledescription":"node","aria-describedby":b?void 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diff --git a/web/index.html b/web/index.html
index ea69ca5..6b1e47f 100644
--- a/web/index.html
+++ b/web/index.html
@@ -3,349 +3,15 @@
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <meta name="description" content="Live elevator group-control research digital twin with replay and statistical evidence" />
-    <title>Elevator Queue Lab</title>
-    <link rel="stylesheet" href="/styles.css?v=counterflow-copy-size-v3" />
+    <meta
+      name="description"
+      content="Reproducible decision-intelligence workbench for elevator group-control research"
+    />
+    <title>Elevator Queue Lab · Decision Intelligence Workbench</title>
+    <script type="module" crossorigin src="/assets/index-DA7_P41y.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-DtVes-z8.css">
   </head>
   <body>
-    <div class="shell">
-      <header class="topbar">
-        <div>
-          <div class="eyebrow">OPERATIONS RESEARCH · GROUP CONTROL</div>
-          <h1>Elevator Queue Lab</h1>
-          <p>18-floor digital twin · predictive dispatch · reproducible statistical evidence</p>
-        </div>
-        <div class="clock-block">
-          <div id="live-state" class="live-state"><i></i><span>LIVE SIMULATION</span></div>
-          <strong id="clock">08:00:00</strong>
-          <span id="elapsed">T+00:00</span>
-        </div>
-      </header>
-
-      <section class="controls" style="position: static; top: auto; z-index: auto" aria-label="Simulation controls">
-        <label>
-          <span>Traffic regime</span>
-          <select id="scenario">
-            <option value="morning">Morning up-peak</option>
-            <option value="lunch">Lunch lobby wave</option>
-            <option value="normal">Normal lobby-centric</option>
-            <option value="evening">Evening down-peak</option>
-            <option value="shock">16F event release</option>
-            <option value="mixed_day">Compressed office day</option>
-          </select>
-        </label>
-        <label>
-          <span>Dispatch policy</span>
-          <select id="policy">
-            <option value="legacy_sticky">Legacy sticky</option>
-            <option value="nearest_car">Nearest car</option>
-            <option value="collective">Collective control</option>
-            <option value="queue_aware">Queue-aware</option>
-            <option value="capr" selected>CAPR predictive</option>
-            <option value="rl">M5 learned DDQN</option>
-          </select>
-        </label>
-        <label>
-          <span>Call input</span>
-          <select id="control-mode">
-            <option value="conventional" selected>Conventional hall call</option>
-            <option value="destination">Destination control</option>
-          </select>
-        </label>
-        <label>
-          <span>Speed</span>
-          <select id="speed">
-            <option value="1">1×</option>
-            <option value="5">5×</option>
-            <option value="20" selected>20×</option>
-            <option value="60">60×</option>
-            <option value="120">120×</option>
-          </select>
-        </label>
-        <div class="control-actions">
-          <button id="pause" class="button ghost">Pause</button>
-          <button id="reset" class="button primary">Reset run</button>
-        </div>
-      </section>
-
-      <div class="demand-contract" aria-label="Synthetic demand assumptions">
-        <span>OFFICE TRIP MIX</span>
-        <strong>85% lobby-linked</strong>
-        <strong>10% roof-access</strong>
-        <strong>5% inter-floor</strong>
-        <small>Time of day changes direction, not the purpose mix · synthetic prior, not measured telemetry</small>
-      </div>
-
-      <main class="workspace">
-        <section class="panel building-panel">
-          <div class="panel-title">
-            <div>
-              <span class="kicker">LIVE DIGITAL TWIN</span>
-              <h2>Passenger flow & car state</h2>
-            </div>
-            <div class="legend">
-              <span><i class="low"></i>Low bank 1–9F</span>
-              <span><i class="high"></i>High bank 1, 10–18F</span>
-              <span><i class="assignment"></i>Assigned call</span>
-            </div>
-          </div>
-
-          <div id="building" class="building" aria-label="18 floor elevator building">
-            <div class="floor-labels" id="floor-labels"></div>
-            <div class="floors" id="floors"></div>
-            <div class="shafts" id="shafts"></div>
-            <svg id="assignment-overlay" class="assignment-overlay" aria-label="Active assignment links"></svg>
-          </div>
-
-          <div class="twin-footer-grid">
-            <section class="calls-area">
-              <span class="kicker">ACTIVE CALLS</span>
-              <div id="calls" class="calls"><span class="muted">Waiting for passenger calls…</span></div>
-            </section>
-            <section class="heatmap-area">
-              <div class="inline-title"><span class="kicker">FLOOR QUEUE HEATMAP</span><small id="heatmap-total">0 waiting</small></div>
-              <div id="floor-heatmap" class="floor-heatmap" aria-label="Queue by floor"></div>
-            </section>
-          </div>
-        </section>
-
-        <aside class="right-column">
-          <section class="metric-grid">
-            <article class="metric hero">
-              <span>Average wait · Wq</span>
-              <strong id="avg-wait">0.0s</strong>
-              <small>Cumulative boarded passengers</small>
-            </article>
-            <article class="metric">
-              <span>P95 wait</span>
-              <strong id="p95-wait">0.0s</strong>
-              <small>Tail service quality</small>
-            </article>
-            <article class="metric">
-              <span>Current queue</span>
-              <strong id="queue">0</strong>
-              <small id="avg-queue">Lq avg 0.00</small>
-            </article>
-            <article class="metric">
-              <span>Full-car misses</span>
-              <strong id="misses">0</strong>
-              <small id="reassignments">0 predictive reassignments</small>
-            </article>
-          </section>
-
-          <section class="panel chart-panel">
-            <div class="panel-title compact">
-              <div>
-                <span class="kicker">SERVICE QUALITY</span>
-                <h3>Wait time over the run</h3>
-              </div>
-              <span id="served" class="tag">0 served</span>
-            </div>
-            <canvas id="wait-chart" width="660" height="210"></canvas>
-            <div class="chart-key"><span><i class="avg"></i>Average</span><span><i class="p95"></i>P95</span></div>
-          </section>
-
-          <section class="panel decision-panel">
-            <div class="panel-title compact">
-              <div>
-                <span class="kicker">DECISION INSPECTOR</span>
-                <h3>Why this car?</h3>
-              </div>
-              <span id="decision-policy" class="tag accent">CAPR</span>
-            </div>
-            <p id="decision-reason" class="decision-reason">Waiting for the first dispatch decision…</p>
-            <div class="decision-meta">
-              <span id="decision-call">No active decision</span>
-              <span id="decision-queue">queue 0</span>
-            </div>
-            <div class="candidate-table-wrap">
-              <table class="candidate-table">
-                <thead><tr><th>Car</th><th>ETA</th><th>Residual</th><th>Score</th><th>Feasible</th></tr></thead>
-                <tbody id="decision-candidates"><tr><td colspan="5" class="muted">No candidate scores yet.</td></tr></tbody>
-              </table>
-            </div>
-          </section>
-
-          <section class="panel event-panel">
-            <div class="panel-title compact">
-              <div>
-                <span class="kicker">CONTROL EVENTS</span>
-                <h3>Assignment & capacity timeline</h3>
-              </div>
-            </div>
-            <div id="event-stream" class="event-stream"><span class="muted">No dispatch events yet.</span></div>
-          </section>
-        </aside>
-      </main>
-
-      <section class="evidence-layout">
-        <section class="panel comparison-panel">
-          <div class="panel-title">
-            <div>
-              <span class="kicker">M3 · 30-SEED EVIDENCE</span>
-              <h2>Policy comparison</h2>
-            </div>
-            <label class="compact-select"><span>Scenario</span><select id="evidence-scenario"></select></label>
-          </div>
-          <p class="section-note">Values below come directly from the checked-in M3 statistical regression baseline. Decision rank prefers guardrail-clean candidates, then the collective reference, then faster-but-riskier tradeoffs. Energy is a comparative proxy, not kWh.</p>
-          <div id="policy-leaders" class="policy-leaders" aria-label="Policy evidence leaders"></div>
-          <div id="comparison-cards" class="comparison-cards"></div>
-          <div id="comparison-note" class="comparison-note"></div>
-
-          <div class="policy-insight-grid">
-            <section class="policy-density-card" aria-labelledby="policy-density-title">
-              <div class="insight-title">
-                <div>
-                  <span class="kicker">30 ACTUAL SEEDS</span>
-                  <h3 id="policy-density-title">Seed AWT distribution</h3>
-                </div>
-                <span class="tag">KDE · avg wait</span>
-              </div>
-              <svg id="policy-density-chart" viewBox="0 0 760 280" role="img" aria-label="Average wait distribution by dispatch policy"></svg>
-              <div id="policy-density-legend" class="policy-density-legend"></div>
-              <p class="distribution-note">Gaussian-kernel density over the 30 observed per-seed average-wait values. This is an empirical run-to-run distribution, not an assumption that passenger waits are normally distributed.</p>
-            </section>
-
-            <section class="policy-ranking-card" aria-labelledby="policy-ranking-title">
-              <div class="insight-title">
-                <div>
-                  <span class="kicker">DECISION BOARD</span>
-                  <h3 id="policy-ranking-title">Dispatch policy ranking</h3>
-                </div>
-                <span class="tag">guardrail-aware</span>
-              </div>
-              <div class="policy-ranking-wrap">
-                <table class="policy-ranking-table">
-                  <thead>
-                    <tr>
-                      <th>Rank</th>
-                      <th>Policy</th>
-                      <th>Evidence</th>
-                      <th>AWT · 95% CI</th>
-                      <th>P95</th>
-                      <th>P99</th>
-                      <th>Worst floor</th>
-                      <th>Energy</th>
-                      <th>Δ vs collective</th>
-                      <th>Speed rank</th>
-                    </tr>
-                  </thead>
-                  <tbody id="policy-ranking-body"></tbody>
-                </table>
-              </div>
-            </section>
-          </div>
-        </section>
-
-        <section class="panel replay-panel">
-          <div class="panel-title">
-            <div>
-              <span class="kicker">DETERMINISTIC REPLAY</span>
-              <h2>Inspect a saved run</h2>
-            </div>
-            <span id="replay-status" class="tag">live buffer</span>
-          </div>
-          <p class="section-note">Save the current buffered run, then scrub the exact simulator frames. Replay uses saved API state rather than reconstructed chart values.</p>
-          <div class="replay-actions">
-            <button id="save-replay" class="button primary">Save current run</button>
-            <button id="enter-replay" class="button" disabled>Enter replay</button>
-            <button id="return-live" class="button ghost" disabled>Return live</button>
-          </div>
-          <div class="replay-timeline">
-            <input id="replay-slider" type="range" min="0" max="0" value="0" disabled aria-label="Replay timeline" />
-            <div class="replay-meta"><span id="replay-frame">Frame 0 / 0</span><strong id="replay-clock">—</strong></div>
-          </div>
-          <div class="replay-summary">
-            <div><span>Scenario</span><strong id="replay-scenario">—</strong></div>
-            <div><span>Policy</span><strong id="replay-policy">—</strong></div>
-            <div><span>Frames</span><strong id="replay-count">0</strong></div>
-          </div>
-        </section>
-      </section>
-
-      <section class="panel theory-panel" aria-labelledby="theory-title">
-        <div class="panel-title theory-heading">
-          <div>
-            <span class="kicker">M7 · THEORY EXTRACTION · 4,680 CONTROLLED RUNS</span>
-            <h2 id="theory-title">Counterflow criticality</h2>
-          </div>
-          <span class="tag accent">discovery + held-out falsification</span>
-        </div>
-        <aside id="theory-takeaway" class="theory-takeaway" aria-label="Counterflow criticality key takeaway">
-          <div class="theory-takeaway-label">KEY TAKEAWAY</div>
-          <div class="theory-takeaway-copy">
-            <strong>Congestion alone is not the trigger.</strong>
-            <p>
-              Continuous reassignment becomes valuable when <b>heavy traffic and enough counterflow rise together</b>,
-              making stale assignments expensive to keep. In short: do not reassign just because the system is busy;
-              reassign when directional competition is high enough to justify the churn.
-            </p>
-          </div>
-          <div class="theory-takeaway-example" aria-label="Morning and lunch counterflow examples">
-            <span><b>Morning</b><strong>B 2.56</strong><small>heavy but mostly one-way → stay low-churn</small></span>
-            <i aria-hidden="true">→</i>
-            <span><b>Lunch</b><strong>B 15.84</strong><small>heavy + counterflow → predictive reassignment pays</small></span>
-          </div>
-        </aside>
-        <div class="theory-intro">
-          <div class="theory-formula-card">
-            <span>Candidate state variable</span>
-            <strong>B = λ · 4p↑(1 − p↑)</strong>
-            <small>λ = arrivals/min · p↑ = lobby-linked up probability · B = bidirectional load rate</small>
-          </div>
-          <p>
-            M7 holds CAPR scoring and parking fixed, then turns only <b>continuous predictive reassignment</b>
-            on/off. The question is whether counterflow creates enough route competition for reassignment to
-            pay for its churn. This is a falsifiable empirical phase hypothesis for this simulator — not a
-            universal queueing theorem or a novelty claim.
-          </p>
-        </div>
-        <div id="theory-leaders" class="theory-leaders" aria-label="Counterflow criticality headline evidence"></div>
-        <div class="theory-grid">
-          <section class="theory-chart-card" aria-labelledby="theory-chart-title">
-            <div class="insight-title">
-              <div>
-                <span class="kicker">PHASE DIAGRAM</span>
-                <h3 id="theory-chart-title">Continuous reassignment value vs bidirectional load</h3>
-              </div>
-              <span class="tag">ΔAWT · CAPR − static</span>
-            </div>
-            <svg id="theory-scatter" viewBox="0 0 820 340" role="img" aria-label="Counterflow criticality discovery and held-out validation plot"></svg>
-            <div class="theory-chart-legend">
-              <span><i class="discovery"></i>Discovery grid</span>
-              <span><i class="validation"></i>Held-out grid</span>
-              <span><i class="gain"></i>Below zero = reassignment helps</span>
-            </div>
-          </section>
-          <section class="theory-phase-card" aria-labelledby="phase-title">
-            <div class="insight-title">
-              <div>
-                <span class="kicker">EMPIRICAL REGIMES</span>
-                <h3 id="phase-title">From churn to predictive value</h3>
-              </div>
-            </div>
-            <div id="theory-phase-bins" class="theory-phase-bins"></div>
-            <div class="theory-rule" id="theory-rule"></div>
-          </section>
-        </div>
-        <div class="canonical-theory-row" id="canonical-theory-row" aria-label="Canonical office scenario projections"></div>
-        <p class="theory-caveat" id="theory-caveat"></p>
-      </section>
-
-      <section class="panel methodology-strip">
-        <div><span class="kicker">QUEUEING DIAGNOSTIC</span><strong>Lq ≈ λ · Wq</strong></div>
-        <div><span>Observed Lq</span><strong id="lq-observed">0.00</strong></div>
-        <div><span>λ · Wq</span><strong id="lq-derived">0.00</strong></div>
-        <div><span>Arrival rate</span><strong id="arrival-rate">0/min</strong></div>
-        <p>This is a simulator sanity diagnostic, not an M/M/c assumption. Elevator service is route- and state-dependent.</p>
-      </section>
-
-      <footer>
-        <span>Every displayed metric and replay frame is sourced from simulator or checked-in evidence APIs.</span>
-        <span>M0–M7 research release · controlled phase sweep · held-out falsification</span>
-      </footer>
-    </div>
-    <script type="module" src="/app.js?v=counterflow-copy-size-v3"></script>
-    <script type="module" src="/queue-trend.js?v=counterflow-copy-size-v3"></script>
+    <div id="root"></div>
   </body>
 </html>
diff --git a/web/queue-trend.js b/web/queue-trend.js
deleted file mode 100644
index 09e0ecc..0000000
--- a/web/queue-trend.js
+++ /dev/null
@@ -1,100 +0,0 @@
-const heatmapArea = document.querySelector(".heatmap-area");
-const trend = document.createElement("div");
-trend.className = "queue-trend";
-trend.innerHTML = `
-  <div class="queue-trend-title"><span>QUEUE TIME SERIES · Lq</span><strong id="queue-trend-value">0.00</strong></div>
-  <canvas id="queue-trend-chart" width="320" height="88" aria-label="Average queue over simulation time"></canvas>
-`;
-heatmapArea.appendChild(trend);
-
-const style = document.createElement("style");
-style.textContent = `
-  .queue-trend { margin-top: 9px; padding-top: 8px; border-top: 1px solid rgba(157,186,207,.1); }
-  .queue-trend-title { display:flex; align-items:center; justify-content:space-between; gap:8px; margin-bottom:4px; color:#6e8899; font-size:7px; font-weight:800; letter-spacing:.08em; }
-  .queue-trend-title strong { color:#8ecfd2; font-size:9px; font-variant-numeric:tabular-nums; }
-  #queue-trend-chart { display:block; width:100%; height:50px; border-radius:5px; background:rgba(5,14,21,.5); }
-`;
-document.head.appendChild(style);
-
-let replayCache = null;
-
-function drawQueueTrend(points) {
-  const canvas = document.querySelector("#queue-trend-chart");
-  const ratio = window.devicePixelRatio || 1;
-  const rect = canvas.getBoundingClientRect();
-  const width = Math.max(160, Math.round(rect.width * ratio));
-  const height = Math.max(50, Math.round(rect.height * ratio));
-  if (canvas.width !== width || canvas.height !== height) {
-    canvas.width = width;
-    canvas.height = height;
-  }
-  const ctx = canvas.getContext("2d");
-  ctx.clearRect(0, 0, width, height);
-  const values = points.map((point) => Number(point.avg_queue || 0));
-  const current = values.at(-1) || 0;
-  document.querySelector("#queue-trend-value").textContent = current.toFixed(2);
-  if (values.length < 2) return;
-
-  const pad = 7 * ratio;
-  const plotWidth = width - pad * 2;
-  const plotHeight = height - pad * 2;
-  const maximum = Math.max(1, ...values) * 1.12;
-  ctx.strokeStyle = "rgba(150,180,200,.10)";
-  ctx.lineWidth = ratio;
-  for (let index = 0; index <= 2; index += 1) {
-    const y = pad + (plotHeight * index) / 2;
-    ctx.beginPath(); ctx.moveTo(pad, y); ctx.lineTo(width - pad, y); ctx.stroke();
-  }
-  ctx.strokeStyle = "#6ca9ff";
-  ctx.lineWidth = 1.6 * ratio;
-  ctx.beginPath();
-  values.forEach((value, index) => {
-    const x = pad + (index / (values.length - 1)) * plotWidth;
-    const y = pad + plotHeight - (value / maximum) * plotHeight;
-    if (index === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y);
-  });
-  ctx.stroke();
-}
-
-async function refreshLiveTrend() {
-  if (document.querySelector("#live-state span")?.textContent === "REPLAY MODE") return;
-  try {
-    const response = await fetch("/api/snapshot", { cache: "no-store" });
-    if (!response.ok) return;
-    const snapshot = await response.json();
-    drawQueueTrend(snapshot.history || []);
-  } catch (error) {
-    console.error(error);
-  }
-}
-
-async function drawReplayTrend() {
-  try {
-    if (!replayCache) {
-      const response = await fetch("/api/replay", { cache: "no-store" });
-      if (!response.ok) return;
-      replayCache = await response.json();
-    }
-    const slider = document.querySelector("#replay-slider");
-    const index = Number(slider.value || 0);
-    const points = (replayCache.frames || [])
-      .slice(0, index + 1)
-      .filter((frame) => Number(frame.sim_time) % 15 === 0)
-      .map((frame) => ({ avg_queue: frame.metrics.avg_queue }));
-    drawQueueTrend(points);
-  } catch (error) {
-    console.error(error);
-  }
-}
-
-document.querySelector("#save-replay")?.addEventListener("click", () => { replayCache = null; });
-document.querySelector("#enter-replay")?.addEventListener("click", () => setTimeout(drawReplayTrend, 0));
-document.querySelector("#replay-slider")?.addEventListener("input", drawReplayTrend);
-document.querySelector("#return-live")?.addEventListener("click", () => setTimeout(refreshLiveTrend, 0));
-window.addEventListener("resize", () => {
-  if (document.querySelector("#live-state span")?.textContent === "REPLAY MODE") drawReplayTrend();
-  else refreshLiveTrend();
-});
-
-refreshLiveTrend();
-setInterval(refreshLiveTrend, 1000);
diff --git a/web/styles.css b/web/styles.css
deleted file mode 100644
index dd8c37b..0000000
--- a/web/styles.css
+++ /dev/null
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-  --blue: #6ca9ff;
-  --danger: #ff7b7b;
-  --green: #79dfb0;
-}
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From c59bb34979e861552affc99215c9f6a674fbe2a2 Mon Sep 17 00:00:00 2001
From: Gabriel Jang <gabrieljang@Gabriels-MacBook-Air.local>
Date: Sun, 23 Aug 2026 21:33:02 +0900
Subject: [PATCH 3/7] test(ci): generalize browser and visual regression gates

---
 .github/workflows/ci.yml                      | 122 +++++-----
 docs/assets/showcase/m8-experiments.png       | Bin 0 -> 299112 bytes
 docs/assets/showcase/m8-explorer.png          | Bin 0 -> 276574 bytes
 docs/assets/showcase/m8-live-operations.png   | Bin 0 -> 403985 bytes
 docs/assets/showcase/m8-models.png            | Bin 0 -> 416268 bytes
 docs/assets/showcase/m8-replay.png            | Bin 0 -> 386268 bytes
 docs/assets/showcase/m8-theory.png            | Bin 0 -> 246371 bytes
 playwright.config.js                          |  16 +-
 tests/e2e/__screenshots__/experiments.png     | Bin 0 -> 279256 bytes
 .../explorer-decision-trace.png               | Bin 0 -> 230271 bytes
 .../live-operations-desktop.png               | Bin 0 -> 327259 bytes
 .../live-operations-mobile.png                | Bin 0 -> 212822 bytes
 tests/e2e/__screenshots__/models.png          | Bin 0 -> 410572 bytes
 tests/e2e/__screenshots__/replay.png          | Bin 0 -> 345950 bytes
 tests/e2e/__screenshots__/theory.png          | Bin 0 -> 231695 bytes
 tests/e2e/m4.spec.js                          | 209 +++++++-----------
 tests/e2e/showcase.spec.js                    |  39 ++++
 tests/e2e/visual.spec.js                      |  41 ++++
 18 files changed, 246 insertions(+), 181 deletions(-)
 create mode 100644 docs/assets/showcase/m8-experiments.png
 create mode 100644 docs/assets/showcase/m8-explorer.png
 create mode 100644 docs/assets/showcase/m8-live-operations.png
 create mode 100644 docs/assets/showcase/m8-models.png
 create mode 100644 docs/assets/showcase/m8-replay.png
 create mode 100644 docs/assets/showcase/m8-theory.png
 create mode 100644 tests/e2e/__screenshots__/experiments.png
 create mode 100644 tests/e2e/__screenshots__/explorer-decision-trace.png
 create mode 100644 tests/e2e/__screenshots__/live-operations-desktop.png
 create mode 100644 tests/e2e/__screenshots__/live-operations-mobile.png
 create mode 100644 tests/e2e/__screenshots__/models.png
 create mode 100644 tests/e2e/__screenshots__/replay.png
 create mode 100644 tests/e2e/__screenshots__/theory.png
 create mode 100644 tests/e2e/showcase.spec.js
 create mode 100644 tests/e2e/visual.spec.js

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index f58f246..d541735 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -4,9 +4,11 @@ on:
   push:
     branches: [main]
   pull_request:
+  schedule:
+    - cron: "17 3 * * 1"
 
 permissions:
-  contents: write
+  contents: read
 
 jobs:
   simulator:
@@ -16,71 +18,81 @@ jobs:
       - uses: actions/setup-python@v5
         with:
           python-version: "3.12"
-      - name: Unit tests
+      - name: Python unit and contract tests
         run: python -m unittest discover -s tests -v
-      - name: Deterministic experiment smoke test
+      - name: Deterministic experiment smoke
         run: python scripts/run_experiment.py --scenario evening --seconds 180 --seeds 2 --output /tmp/elevator-smoke.json
-      - name: Destination-control experiment smoke test
+      - name: Destination-control smoke
         run: python scripts/run_experiment.py --scenario evening --seconds 120 --seeds 3 --control-mode destination --output /tmp/elevator-destination-smoke.json
-      - name: M3 30-seed six-scenario evidence matrix
-        if: github.event_name == 'pull_request'
-        run: |
-          mkdir -p evidence
-          python scripts/run_experiment.py --matrix --seconds 180 --seeds 30 --output evidence/m3-evidence.json
-      - name: M3 statistical regression baseline
-        if: github.event_name == 'pull_request'
-        run: python scripts/check_regression_baseline.py evidence/m3-evidence.json
-      - name: Upload M3 evidence artifacts
-        if: github.event_name == 'pull_request'
-        uses: actions/upload-artifact@v4
+      - name: Versioned artifact and trace validation
+        run: python scripts/validate_artifacts.py
+      - name: Release audit
+        run: python scripts/audit_release.py
+
+  frontend:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-node@v4
         with:
-          name: m3-statistical-evidence
-          path: evidence/
-          retention-days: 14
+          node-version: "22"
+          cache: npm
+          cache-dependency-path: frontend/package-lock.json
+      - name: Install frontend dependencies
+        run: npm ci --prefix frontend
+      - name: TypeScript
+        run: npm run typecheck --prefix frontend
+      - name: Frontend unit tests
+        run: npm test --prefix frontend
+      - name: Production build into web
+        run: npm run build --prefix frontend
+
+  browser:
+    runs-on: ubuntu-latest
+    needs: [simulator, frontend]
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: "3.12"
       - uses: actions/setup-node@v4
-        if: github.event_name == 'pull_request' && github.head_ref == 'feat/m4-digital-twin-replay'
         with:
           node-version: "22"
-      - name: Install browser QA dependencies
-        if: github.event_name == 'pull_request' && github.head_ref == 'feat/m4-digital-twin-replay'
+          cache: npm
+      - name: Install browser and frontend dependencies
         run: |
-          npm install
+          npm ci
+          npm ci --prefix frontend
+          npm run build --prefix frontend
           npx playwright install --with-deps chromium
-      - name: Start simulator web server
-        if: github.event_name == 'pull_request' && github.head_ref == 'feat/m4-digital-twin-replay'
-        run: |
-          python -m app.server --port 4173 > /tmp/elevator-server.log 2>&1 &
-          echo $! > /tmp/elevator-server.pid
-          for attempt in {1..30}; do
-            if curl --fail --silent http://127.0.0.1:4173/api/snapshot > /dev/null; then
-              exit 0
-            fi
-            sleep 1
-          done
-          cat /tmp/elevator-server.log
-          exit 1
-      - name: M4 browser API/replay consistency
-        if: github.event_name == 'pull_request' && github.head_ref == 'feat/m4-digital-twin-replay'
+      - name: Playwright E2E, responsive and visual regression
         run: npm run test:e2e
-      - name: Preserve M4 README screenshot on PR branch
-        if: github.event_name == 'pull_request' && github.head_ref == 'feat/m4-digital-twin-replay' && hashFiles('docs/assets/m4-dashboard.png') == ''
-        env:
-          HEAD_BRANCH: ${{ github.head_ref }}
-        run: |
-          git fetch origin "$HEAD_BRANCH"
-          git switch -C "$HEAD_BRANCH" "origin/$HEAD_BRANCH"
-          mkdir -p docs/assets
-          cp artifacts/m4-dashboard-desktop.png docs/assets/m4-dashboard.png
-          git config user.name "github-actions[bot]"
-          git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
-          git add docs/assets/m4-dashboard.png
-          git commit -m "docs(m4): capture validated digital twin"
-          git push origin "HEAD:$HEAD_BRANCH"
-      - name: Upload M4 visual evidence
-        if: always() && github.event_name == 'pull_request' && github.head_ref == 'feat/m4-digital-twin-replay'
+      - name: Upload browser QA evidence
+        if: always()
         uses: actions/upload-artifact@v4
         with:
-          name: m4-visual-evidence
-          path: artifacts/
+          name: m8-browser-qa
+          path: |
+            artifacts/
+            test-results/
           if-no-files-found: warn
           retention-days: 14
+
+  statistical-regression:
+    if: github.event_name == 'push' || github.event_name == 'schedule' || contains(github.event.pull_request.labels.*.name, 'full-statistical-regression')
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: "3.12"
+      - name: M3 30-seed six-scenario evidence matrix
+        run: python scripts/run_experiment.py --matrix --seconds 180 --seeds 30 --output /tmp/m3-evidence.json
+      - name: M3 statistical regression baseline
+        run: python scripts/check_regression_baseline.py /tmp/m3-evidence.json
+      - name: Upload statistical evidence
+        uses: actions/upload-artifact@v4
+        with:
+          name: m3-statistical-regression
+          path: /tmp/m3-evidence.json
+          retention-days: 14
diff --git a/docs/assets/showcase/m8-experiments.png b/docs/assets/showcase/m8-experiments.png
new file mode 100644
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diff --git a/playwright.config.js b/playwright.config.js
index 60b7c77..0d40806 100644
--- a/playwright.config.js
+++ b/playwright.config.js
@@ -2,10 +2,24 @@ const { defineConfig } = require("@playwright/test");
 
 module.exports = defineConfig({
   testDir: "tests/e2e",
-  timeout: 30000,
+  timeout: 45000,
   workers: 1,
+  snapshotPathTemplate: "{testDir}/__screenshots__/{arg}{ext}",
+  expect: {
+    toHaveScreenshot: {
+      animations: "disabled",
+      maxDiffPixelRatio: 0.08,
+    },
+  },
   use: {
     baseURL: process.env.BASE_URL || "http://127.0.0.1:4173/",
     browserName: "chromium",
+    trace: "retain-on-failure",
+  },
+  webServer: process.env.BASE_URL ? undefined : {
+    command: "python3 -m app.server --port 4173",
+    url: "http://127.0.0.1:4173/api/health",
+    reuseExistingServer: !process.env.CI,
+    timeout: 30000,
   },
 });
diff --git a/tests/e2e/__screenshots__/experiments.png b/tests/e2e/__screenshots__/experiments.png
new file mode 100644
index 0000000000000000000000000000000000000000..7c671d8bac5721f781d8d7fbb63ef3fe5693f10f
GIT binary patch
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diff --git a/tests/e2e/m4.spec.js b/tests/e2e/m4.spec.js
index d7b481b..cc935d1 100644
--- a/tests/e2e/m4.spec.js
+++ b/tests/e2e/m4.spec.js
@@ -1,158 +1,117 @@
 const fs = require("node:fs");
 const { test, expect } = require("@playwright/test");
 
-function waitText(value) {
-  return Number(value || 0).toFixed(1) + "s";
-}
 
-test("live UI and deterministic replay match API state", async ({ page, request, baseURL }) => {
+test("M8 workbench preserves live/replay evidence and exposes analysis surfaces", async ({ page, request, baseURL }) => {
   fs.mkdirSync("artifacts", { recursive: true });
-  await page.setViewportSize({ width: 1440, height: 1100 });
+  await page.setViewportSize({ width: 1440, height: 1000 });
   await page.goto(baseURL);
-  await expect(page.locator("#comparison-cards .comparison-card")).toHaveCount(5);
-  await expect(page.locator("#policy-leaders .policy-leader")).toHaveCount(3);
-  await expect(page.locator("#policy-density-chart .density-series")).toHaveCount(5);
-  await expect(page.locator("#policy-ranking-body tr")).toHaveCount(5);
-  await expect(page.locator("#policy-ranking-body tr").first()).toHaveAttribute("data-policy", "capr");
-  await expect(page.locator("#comparison-cards .comparison-card").first()).toHaveAttribute("data-policy", "capr");
-  await expect(page.locator("#policy-leaders .policy-leader.primary strong")).toHaveText("CAPR");
-  await expect(page.locator("#theory-takeaway")).toBeVisible();
-  await expect(page.locator("#theory-takeaway .theory-takeaway-copy > strong"))
-    .toHaveText("Congestion alone is not the trigger.");
-  await expect(page.locator("#theory-takeaway")).toContainText("heavy traffic and enough counterflow rise together");
-  await expect(page.locator("#theory-takeaway")).toContainText("Morning");
-  await expect(page.locator("#theory-takeaway")).toContainText("B 2.56");
-  await expect(page.locator("#theory-takeaway")).toContainText("Lunch");
-  await expect(page.locator("#theory-takeaway")).toContainText("B 15.84");
-  await expect(page.locator("#theory-leaders .theory-leader")).toHaveCount(4);
-  await expect(page.locator('#theory-scatter [data-kind="discovery"]')).toHaveCount(40);
-  await expect(page.locator('#theory-scatter [data-kind="validation"]')).toHaveCount(18);
-  await expect(page.locator("#theory-rule strong")).toContainText("0.158");
-  await expect(page.locator("#theory-caveat")).toContainText("fuzzy phase transition");
 
-  await page.locator("#evidence-scenario").selectOption("mixed_day");
-  await expect(page.locator("#policy-ranking-body tr").first()).toHaveAttribute("data-policy", "collective");
-  await expect(page.locator("#policy-leaders .policy-leader.primary strong")).toHaveText("Collective");
-  await expect(page.locator("#policy-leaders .policy-leader").nth(1).locator("strong")).toHaveText("CAPR");
-  await page.locator("#evidence-scenario").selectOption("lunch");
+  await expect(page.getByRole("heading", { name: "Live Operations" })).toBeVisible();
+  await page.keyboard.press("Tab");
+  await expect(page.locator(":focus")).toHaveAttribute("aria-label", "Open Live Operations");
+  await expect(page.locator("#building")).toBeVisible();
+  await expect(page.locator(".floor-line")).toHaveCount(18);
+  await expect(page.locator("[data-car-id]")).toHaveCount(6);
 
-  await request.post("/api/control", {
-    data: {
-      action: "reset",
-      scenario: "shock",
-      policy: "capr",
-      control_mode: "conventional",
-      speed: 120,
-    },
-  });
-  await expect.poll(async () => {
-    const response = await request.get("/api/snapshot");
-    const body = await response.json();
-    return Number(body.metrics.reassignments || 0);
-  }, { timeout: 8000 }).toBeGreaterThan(0);
-  const pauseResponse = await request.post("/api/control", {
-    data: {
-      action: "pause",
-      scenario: "shock",
-      policy: "capr",
-      control_mode: "conventional",
-      speed: 120,
-    },
-  });
-  const snapshot = await pauseResponse.json();
+  await page.locator("#scenario").selectOption("shock");
+  await expect.poll(async () => (await (await request.get("/api/snapshot")).json()).scenario).toBe("shock");
+  await page.locator("#policy").selectOption("collective");
+  await expect.poll(async () => (await (await request.get("/api/snapshot")).json()).policy).toBe("collective");
+  await page.locator("#policy").selectOption("capr");
+  await expect.poll(async () => (await (await request.get("/api/snapshot")).json()).policy).toBe("capr");
+  await page.locator("#speed").selectOption("120");
 
-  await expect(page.locator("#clock")).toHaveText(snapshot.clock);
-  await expect(page.locator("#queue")).toHaveText(String(snapshot.metrics.current_queue));
-  await expect(page.locator("#avg-wait")).toHaveText(waitText(snapshot.metrics.avg_wait));
-  await expect(page.locator("#p95-wait")).toHaveText(waitText(snapshot.metrics.p95_wait));
-  await expect(page.locator("#served")).toHaveText(`${snapshot.metrics.served} served`);
-  await expect(page.locator("#wait-chart")).toBeVisible();
-  await expect(page.locator("#queue-trend-chart")).toBeVisible();
-  const latestQueueHistory = snapshot.history.at(-1);
-  expect(latestQueueHistory).toBeTruthy();
-  await expect(page.locator("#queue-trend-value"))
-    .toHaveText(Number(latestQueueHistory.avg_queue).toFixed(2));
+  await expect.poll(async () => {
+    const snapshot = await (await request.get("/api/snapshot")).json();
+    return Number(snapshot.metrics.reassignments || 0);
+  }, { timeout: 15000 }).toBeGreaterThan(0);
 
-  const expectedCalls = Math.min(12, snapshot.calls.length);
-  await expect(page.locator("#calls .call")).toHaveCount(expectedCalls);
-  const expectedLinks = snapshot.calls.filter((call) => call.assigned).slice(0, 16).length;
-  await expect(page.locator("#assignment-overlay line")).toHaveCount(expectedLinks);
+  const pauseResponse = await request.post("/api/control", { data: { action: "pause" } });
+  const paused = await pauseResponse.json();
+  await expect(page.locator("#clock")).toHaveText(paused.clock);
+  await expect(page.locator("#queue")).toHaveText(String(paused.metrics.current_queue));
+  await expect(page.locator("#avg-wait")).toHaveText(`${Number(paused.metrics.avg_wait).toFixed(1)}s`);
+  await expect(page.locator("#p95-wait")).toHaveText(`${Number(paused.metrics.p95_wait).toFixed(1)}s`);
+  await expect(page.locator("#served")).toHaveText(`${paused.metrics.served} served`);
+  await expect(page.locator(".heat-cell")).toHaveCount(18);
 
-  const latestDecision = snapshot.decision_tail.at(-1);
+  const latestDecision = paused.decision_tail.at(-1);
   expect(latestDecision).toBeTruthy();
-  const candidateRows = latestDecision.candidates || latestDecision.evaluations || [];
-  await expect(page.locator("#decision-candidates tr")).toHaveCount(candidateRows.length);
-  await expect(page.locator("#decision-reason")).not.toHaveText("Waiting for the first dispatch decision…");
-
-  expect(snapshot.metrics.reassignments).toBeGreaterThan(0);
-  const relevantEventKinds = new Set(["assign", "reassign", "assignment_invalidated", "full_pass"]);
-  const relevantEvents = snapshot.event_tail
-    .filter((event) => relevantEventKinds.has(event.kind))
-    .slice(-8);
-  expect(relevantEvents.length).toBeGreaterThan(0);
-  await expect(page.locator("#event-stream .event")).toHaveCount(relevantEvents.length);
-  if (relevantEvents.some((event) => event.kind === "reassign")) {
-    await expect(page.locator("#event-stream .event-reassign").first()).toBeVisible();
-  }
-
-  for (const car of snapshot.elevators) {
+  await expect(page.locator("#decision-reason")).toHaveText(latestDecision.reason);
+  await expect(page.locator("#decision-candidates tr")).toHaveCount(latestDecision.candidates.length);
+  for (const car of paused.elevators) {
     const locator = page.locator(`[data-car-id="${car.id}"]`);
     await expect(locator).toHaveAttribute("data-floor", String(car.floor));
     await expect(locator).toHaveAttribute("data-load", String(car.load));
     await expect(locator).toHaveAttribute("data-phase", String(car.phase));
   }
 
-  for (let floor = 1; floor <= 18; floor += 1) {
-    const queue = snapshot.queues[String(floor)] || { up: 0, down: 0 };
-    const expectedQueue = Number(queue.up || 0) + Number(queue.down || 0);
-    await expect(page.locator(`.heat-cell[data-floor="${floor}"]`)).toHaveAttribute(
-      "data-queue",
-      String(expectedQueue),
-    );
-  }
-
   await page.locator("#save-replay").click();
   await expect(page.locator("#replay-status")).toHaveText("saved run");
-  const replayResponse = await request.get("/api/replay");
-  const replay = await replayResponse.json();
+  const replay = await (await request.get("/api/replay")).json();
   expect(replay.source).toBe("saved_run");
   expect(replay.frame_count).toBeGreaterThan(2);
-
   await page.locator("#enter-replay").click();
   await expect(page.locator("#live-state span")).toHaveText("REPLAY MODE");
-  await page.locator("#replay-slider").evaluate((element) => {
-    element.value = "0";
-    element.dispatchEvent(new Event("input", { bubbles: true }));
-  });
-  const firstFrame = replay.frames[0];
-  await expect(page.locator("#clock")).toHaveText(firstFrame.clock);
-  await expect(page.locator("#queue")).toHaveText(String(firstFrame.metrics.current_queue));
-  await expect(page.locator("#avg-wait")).toHaveText(waitText(firstFrame.metrics.avg_wait));
-  await expect(page.locator("#replay-frame")).toHaveText(`Frame 1 / ${replay.frames.length}`);
-
+  await expect(page.locator("#clock")).toHaveText(replay.frames[0].clock);
+  await expect(page.locator("#queue")).toHaveText(String(replay.frames[0].metrics.current_queue));
   await page.locator("#return-live").click();
-  await expect(page.locator("#clock")).toHaveText(snapshot.clock);
   await expect(page.locator("#live-state span")).toHaveText("PAUSED");
+  await expect(page.locator("#clock")).toHaveText(paused.clock);
+  await page.screenshot({ path: "artifacts/m8-live-operations-desktop.png", fullPage: true });
 
-  const evidenceResponse = await request.get("/api/experiment");
-  const evidence = await evidenceResponse.json();
-  const lunchCollective = evidence.baseline.scenarios.lunch.policies.collective;
-  await expect(page.locator('#comparison-cards .comparison-card[data-policy="collective"] > strong'))
-    .toHaveText(`${Number(lunchCollective.avg_wait).toFixed(2)}s`);
-  const theoryResponse = await request.get("/api/theory");
-  const theory = await theoryResponse.json();
-  expect(theory.discovery.cells).toHaveLength(40);
-  expect(theory.validation.cells).toHaveLength(18);
+  await page.getByRole("button", { name: "Experiments" }).click();
+  await expect(page.getByRole("heading", { name: "Experiments" })).toBeVisible();
+  await expect(page.locator("#comparison-cards .comparison-card")).toHaveCount(5);
+  await expect(page.locator("#policy-density-chart .density-series")).toHaveCount(5);
+  await expect(page.locator("#policy-ranking-body tr")).toHaveCount(5);
+  const experiment = await (await request.get("/api/experiment")).json();
+  const lunchCollective = experiment.baseline.scenarios.lunch.policies.collective;
+  await expect(page.locator('#comparison-cards .comparison-card[data-policy="collective"] > strong')).toHaveText(`${Number(lunchCollective.avg_wait).toFixed(2)}s`);
+  await page.screenshot({ path: "artifacts/m8-experiments.png", fullPage: true });
+
+  await page.getByRole("button", { name: "Theory" }).click();
+  await expect(page.locator("#theory-takeaway")).toContainText("Congestion alone is not the trigger.");
+  await expect(page.locator("#theory-takeaway")).toContainText("traffic intensity and counterflow rise together");
+  await expect(page.locator('#theory-scatter [data-kind="discovery"]')).toHaveCount(40);
+  await expect(page.locator('#theory-scatter [data-kind="validation"]')).toHaveCount(18);
+  const theory = await (await request.get("/api/theory")).json();
+  expect(theory.validation.result.accuracy).toBe(0.722222);
   expect(theory.validation.result.recall).toBe(1);
+  await page.screenshot({ path: "artifacts/m8-theory.png", fullPage: true });
+
+  await page.getByRole("button", { name: "Models" }).click();
+  await expect(page.getByText("Learned-controller superiority was not established.")).toBeVisible();
+  await expect(page.getByText("negative / mixed result")).toBeVisible();
+
+  await page.getByRole("button", { name: "Runs" }).click();
+  await expect(page.getByText("SimulationRunArtifact").first()).toBeVisible();
+  const runs = await (await request.get("/api/runs")).json();
+  const runId = runs.runs[0].run_id;
+  await expect(page.getByText(runId).first()).toBeVisible();
 
-  await page.screenshot({ path: "artifacts/m4-dashboard-desktop.png", fullPage: true });
+  await page.getByRole("button", { name: "Explorer" }).click();
+  await expect(page.getByTestId("explorer-workbench")).toBeVisible();
+  await page.getByRole("button", { name: /DispatchDecision/ }).click();
+  await expect(page.locator(".object-list button").first()).toBeVisible();
+  await page.locator(".object-list button").first().click();
+  await expect(page.getByTestId("decision-trace")).toBeVisible();
+  await expect(page.locator(".react-flow__node").first()).toBeVisible();
+  const graph = await (await request.get(`/api/runs/${runId}/graph`)).json();
+  expect(graph.nodes.length).toBeGreaterThan(6);
+  expect(graph.provenance.database).toBeNull();
+
+  const askInput = page.getByLabel("Ask this run question");
+  await askInput.fill("Compare this run with collective");
+  await page.getByRole("button", { name: "Query evidence" }).click();
+  await expect(page.locator(".ask-run-answer")).toContainText("committed 30-seed M3 evidence");
+  await page.screenshot({ path: "artifacts/m8-explorer-decision-trace.png", fullPage: true });
+
+  await page.getByRole("button", { name: "Live Operations", exact: true }).click();
   await page.setViewportSize({ width: 390, height: 844 });
   await expect(page.locator("#building")).toBeVisible();
-  await expect(page.locator("#comparison-cards")).toBeVisible();
-  await expect(page.locator("#policy-density-chart")).toBeVisible();
-  await expect(page.locator("#policy-ranking-body tr")).toHaveCount(5);
-  await expect(page.locator("#theory-scatter")).toBeVisible();
-  await expect(page.locator("#canonical-theory-row article")).toHaveCount(4);
+  await expect(page.locator("[data-car-id]")).toHaveCount(6);
   expect(await page.evaluate(() => document.documentElement.scrollWidth <= window.innerWidth + 1)).toBe(true);
-  await page.screenshot({ path: "artifacts/m4-dashboard-mobile.png", fullPage: true });
+  await page.screenshot({ path: "artifacts/m8-live-operations-mobile.png", fullPage: true });
 });
diff --git a/tests/e2e/showcase.spec.js b/tests/e2e/showcase.spec.js
new file mode 100644
index 0000000..f4d5cc0
--- /dev/null
+++ b/tests/e2e/showcase.spec.js
@@ -0,0 +1,39 @@
+const fs = require("node:fs");
+const path = require("node:path");
+const { test, expect } = require("@playwright/test");
+
+
+test.skip(!process.env.SHOWCASE, "showcase capture runs only through npm run capture:showcase");
+
+test("capture portfolio showcase from the real workbench", async ({ page, request, baseURL }) => {
+  const output = path.join("docs", "assets", "showcase");
+  fs.mkdirSync(output, { recursive: true });
+  await page.setViewportSize({ width: 1440, height: 1000 });
+  await page.goto(baseURL);
+  await expect(page.getByRole("heading", { name: "Live Operations" })).toBeVisible();
+  await request.post("/api/control", { data: { action: "reset", scenario: "shock", policy: "capr", speed: 120 } });
+  await expect.poll(async () => Number((await (await request.get("/api/snapshot")).json()).metrics.reassignments || 0), { timeout: 15000 }).toBeGreaterThan(0);
+  await request.post("/api/control", { data: { action: "pause" } });
+  await expect(page.locator("#live-state span")).toHaveText("PAUSED");
+  await page.screenshot({ path: path.join(output, "m8-live-operations.png"), fullPage: true });
+
+  await page.locator("#save-replay").click();
+  await page.locator("#enter-replay").click();
+  await expect(page.locator("#live-state span")).toHaveText("REPLAY MODE");
+  await page.screenshot({ path: path.join(output, "m8-replay.png"), fullPage: true });
+  await page.locator("#return-live").click();
+
+  for (const [name, file] of [
+    ["Experiments", "m8-experiments.png"],
+    ["Theory", "m8-theory.png"],
+    ["Models", "m8-models.png"],
+    ["Explorer", "m8-explorer.png"],
+  ]) {
+    await page.getByRole("button", { name }).click();
+    if (name === "Explorer") {
+      await page.getByRole("button", { name: /DispatchDecision/ }).click();
+      await expect(page.getByTestId("decision-trace")).toBeVisible();
+    }
+    await page.screenshot({ path: path.join(output, file), fullPage: true });
+  }
+});
diff --git a/tests/e2e/visual.spec.js b/tests/e2e/visual.spec.js
new file mode 100644
index 0000000..7586af0
--- /dev/null
+++ b/tests/e2e/visual.spec.js
@@ -0,0 +1,41 @@
+const { test, expect } = require("@playwright/test");
+
+
+test("stable workbench layouts retain their visual information hierarchy", async ({ page, request, baseURL }) => {
+  await page.setViewportSize({ width: 1365, height: 900 });
+  await request.post("/api/control", { data: { action: "reset_paused", scenario: "lunch", policy: "capr", speed: 1 } });
+  for (let index = 0; index < 24; index += 1) {
+    await request.post("/api/control", { data: { action: "step" } });
+  }
+  await page.goto(baseURL);
+  await expect(page.getByRole("heading", { name: "Live Operations" })).toBeVisible();
+  await expect(page.locator("#live-state span")).toHaveText("PAUSED");
+  await expect(page.locator("#elapsed")).toHaveText("T+00:24");
+  const masks = [page.locator(".status-bar"), page.locator("#clock"), page.locator("#elapsed")];
+  await expect(page).toHaveScreenshot("live-operations-desktop.png", { fullPage: true, mask: masks });
+
+  await page.locator("#save-replay").click();
+  await expect(page.locator("#replay-status")).toHaveText("saved run");
+  await page.locator("#enter-replay").click();
+  await expect(page.locator("#live-state span")).toHaveText("REPLAY MODE");
+  await expect(page).toHaveScreenshot("replay.png", { fullPage: true, mask: masks });
+  await page.locator("#return-live").click();
+  await expect(page.locator("#live-state span")).toHaveText("PAUSED");
+
+  await page.getByRole("button", { name: "Experiments" }).click();
+  await expect(page).toHaveScreenshot("experiments.png", { fullPage: true, mask: [page.locator(".status-bar")] });
+
+  await page.getByRole("button", { name: "Theory" }).click();
+  await expect(page).toHaveScreenshot("theory.png", { fullPage: true, mask: [page.locator(".status-bar")] });
+
+  await page.getByRole("button", { name: "Models" }).click();
+  await expect(page).toHaveScreenshot("models.png", { fullPage: true, mask: [page.locator(".status-bar")] });
+
+  await page.getByRole("button", { name: "Explorer" }).click();
+  await expect(page.getByTestId("decision-trace")).toBeVisible();
+  await expect(page).toHaveScreenshot("explorer-decision-trace.png", { fullPage: true, mask: [page.locator(".status-bar")] });
+
+  await page.getByRole("button", { name: "Live Operations", exact: true }).click();
+  await page.setViewportSize({ width: 390, height: 844 });
+  await expect(page).toHaveScreenshot("live-operations-mobile.png", { fullPage: true, mask: [page.locator(".status-bar"), page.locator("#clock"), page.locator("#elapsed")] });
+});

From 0e093400ec5d0c69f9ba61f9a32dc2b70f9dfeda Mon Sep 17 00:00:00 2001
From: Gabriel Jang <gabrieljang@Gabriels-MacBook-Air.local>
Date: Sun, 23 Aug 2026 21:33:06 +0900
Subject: [PATCH 4/7] docs(m8): document decision intelligence architecture

---
 README.md                    |  98 ++++++---
 docs/M8_PRODUCT_WORKBENCH.md | 383 +++++++++++++++++++++++++++++++++++
 docs/ROADMAP.md              |  21 ++
 3 files changed, 479 insertions(+), 23 deletions(-)
 create mode 100644 docs/M8_PRODUCT_WORKBENCH.md

diff --git a/README.md b/README.md
index 481f238..20d6844 100644
--- a/README.md
+++ b/README.md
@@ -1,13 +1,30 @@
 # Elevator Queue Lab
 
-**A reproducible elevator group-control research lab for an 18-floor office building.**
+**A reproducible decision-intelligence workbench for elevator group-control research.**
 
 **Live demo:** [https://elevator.oosu.dev/](https://elevator.oosu.dev/)
 
-Elevator Queue Lab starts from a practical failure mode: a hall call is assigned to a car, that
-car later becomes full or follows a poor route, and the passenger waits while the controller keeps
-treating the stale assignment as valid. The project turns that observation into a controlled
-simulation and optimization problem.
+Elevator Queue Lab lets a reviewer **simulate, observe, inspect, explain, replay, compare and
+falsify** dispatch decisions from passenger-level evidence. It starts from a practical failure
+mode: a hall call is assigned to a car, that car later becomes full or follows a poor route, and
+the passenger waits while the controller keeps treating the stale assignment as valid.
+
+## 30-second orientation
+
+| Question | Answer |
+| --- | --- |
+| **What problem is being studied?** | Stale elevator assignments under stochastic load: a car that looked good at assignment time may become a poor or impossible pickup before it arrives. |
+| **What is CAPR?** | Capacity-Aware Predictive Reassignment: route-insertion ETA + predicted residual capacity + route/load/age scoring + continuous reassignment with hysteresis. |
+| **What did the experiments show?** | CAPR is **traffic-regime dependent**, not globally superior. Lunch is a clean M3 candidate improvement; several other regimes expose wait/energy trade-offs or no mean-wait win. |
+| **What is Counterflow Criticality?** | M7 evidence supports a fuzzy congestion × counterflow transition: continuous reassignment becomes more valuable when traffic intensity and opposing directional flow rise together. The fitted threshold is **not** a universal critical constant. |
+| **Did RL beat the heuristics?** | No general superiority was established. The fixed M5 Dueling Double DQN improves only the held-out mixed-day mixture cleanly; five base regimes regress versus collective. |
+| **Can I reproduce it?** | Yes. The repository keeps deterministic traces, versioned provenance, committed statistical evidence, a production Python server path, unit/contract tests, Playwright E2E and visual regression. |
+
+The product flow is:
+
+```text
+SIMULATE → OBSERVE → INSPECT → EXPLAIN → REPLAY → COMPARE → FALSIFY
+```
 
 The target building has **18 floors and six passenger elevators**: three low-zone cars and three
 high-zone cars. The default synthetic workplace mix is deliberately lobby-centric: **85% of trips
@@ -17,11 +34,12 @@ passenger is represented from arrival at a hall call
 through boarding and destination arrival, so dispatch decisions can be evaluated on passenger
 outcomes instead of visual car movement alone.
 
-![Elevator Queue Lab live digital twin](docs/assets/m6-dashboard.png)
+![Elevator Queue Lab M8 decision intelligence workbench](docs/assets/showcase/m8-live-operations.png)
 
-The screenshot above is captured from the deployed public simulator at `elevator.oosu.dev` after
-Chromium verifies the live UI/API contract: all six cars, all 18 floors, the evidence cards, the
-learned-policy control path and simulator audit. It is not a mockup or static chart fixture.
+The screenshot above is captured by Playwright from the real Python server and production React
+build after CAPR has produced a reassignment. It is not a mockup or static chart fixture. The public
+demo uses the same single-process Python/static-serving contract; this exact M8 commit is only
+considered publicly verified after it has been deployed and remote QA has passed.
 
 > **Research takeaway — congestion alone is not the trigger.** Continuous predictive reassignment
 > becomes valuable when **heavy traffic and enough counterflow rise together**, because opposing
@@ -44,7 +62,12 @@ superiority**.
 
 ## Current executable surface
 
+- React + TypeScript authored frontend in `frontend/`, with Vite producing the committed `web/`
+  production artifact so `python -m app.server --port 4173` remains the one-command runtime;
+- Decision Intelligence Product Shell with Live Operations, Runs, Dispatch Analysis, Experiments,
+  Counterflow Criticality, Models and Object Explorer workbenches;
 - deterministic origin/destination passenger traces with canonical JSON + SHA-256 identity;
+- versioned trace/run/dispatch/evidence artifact catalog with seed/scenario/policy/config provenance;
 - sub-second six-car simulator with acceleration/deceleration, doors and passenger transfer time;
 - low/high zoned banks and both conventional hall-call and destination-control grouping;
 - sticky, nearest-car, collective, queue-aware and CAPR dispatch policies;
@@ -55,6 +78,13 @@ superiority**.
 - floor queue heatmap plus live/replay wait and queue time series sourced only from simulator state;
 - dispatch event stream and candidate-level decision inspector for assignment/reassignment reasoning;
 - deterministic saved-run replay with a timeline scrubber and live/replay state switching;
+- browseable Elevator/Passenger/HallCall/DispatchDecision/Run/Experiment/Model/Evidence objects;
+- read-only Decision Trace graph projected from simulator state, decision history and the event
+  ledger, with pan/zoom/fit-view and inspector linkage;
+- deterministic **Ask This Run** explanations backed by recorded evidence and committed M3
+  comparisons; no LLM is required or treated as a source of truth;
+- typed semantic `ChartSpec` validation and registered React renderers instead of arbitrary
+  generated HTML/JavaScript;
 - 30-seed common-random-number experiment engine with morning/lunch/normal/evening/shock/mixed-day;
 - P50/P95/P99 wait, journey time, throughput, unfinished queue, reassignment latency, floor fairness,
   capacity misses and a transparent comparative energy proxy;
@@ -70,7 +100,9 @@ superiority**.
 - `rl` runtime policy selectable in the live digital twin using the checked-in M5 model;
 - JSON + run-level CSV + summary CSV evidence artifacts, paired effect sizes and guardrail flags;
 - Playwright browser verification that visible metrics, all six cars and all 18 floor queues match API/replay state;
-- responsive desktop/mobile visual QA with screenshots generated from that same verified browser run.
+- deterministic visual regression for Live Operations desktop/mobile, Replay, Experiments, Theory,
+  Models and Explorer/Decision Trace;
+- `npm run capture:showcase` portfolio capture from the real backend and production frontend.
 
 ## 30-seed evidence: CAPR is regime-dependent
 
@@ -173,21 +205,33 @@ limitations, and `docs/M6_EVIDENCE_SUMMARY.md` for tables generated directly fro
 
 ## Run locally
 
-Python 3.11+ is enough for the simulator and research server.
+Python 3.11+ is enough to run the committed production workbench. Node is only required when
+changing or rebuilding the React frontend.
 
 ```bash
 python -m app.server --port 4173
 ```
 
 Open `http://127.0.0.1:4173`. The UI can switch traffic regime, policy, simulation speed and
-conventional versus destination-control call input, save the current run, scrub deterministic
-replay frames and inspect the M3 comparison evidence.
+conventional versus destination-control call input, save and scrub replay, inspect dispatch
+decisions, browse run objects and Decision Trace, query deterministic explanations and inspect
+committed M3/M5/M7 evidence.
+
+Frontend contributor gates:
+
+```bash
+npm ci --prefix frontend
+npm run typecheck --prefix frontend
+npm test --prefix frontend
+npm run build --prefix frontend
+```
 
 Run validation and evidence generation:
 
 ```bash
 python -m unittest discover -s tests -v
 python scripts/generate_trace.py --scenario evening --seconds 600 --seed 7 --output /tmp/evening-trace.json
+python scripts/generate_trace.py --scenario evening --seconds 600 --seed 7 --output /tmp/evening-trace.json --package-dir /tmp/evening-trace-package
 python scripts/run_experiment.py --scenario evening --seconds 600 --seeds 3
 python scripts/run_experiment.py --scenario evening --seconds 600 --seeds 3 --control-mode destination
 python scripts/run_experiment.py --matrix --seconds 180 --seeds 30 --output evidence/m3-evidence.json
@@ -201,24 +245,32 @@ python scripts/audit_release.py
 For browser/API visual verification:
 
 ```bash
-npm install
+npm ci
+npm ci --prefix frontend
+npm run frontend:build
 npx playwright install chromium
-python -m app.server --port 4173
 npm run test:e2e
+npm run capture:showcase
 ```
 
+Playwright starts the production Python server automatically unless `BASE_URL` points at an
+already-running instance. Intentional visual-baseline updates use `npm run test:e2e:update`.
+
 The matrix command emits a self-describing JSON artifact plus `*.runs.csv` and `*.summary.csv`.
 Artifacts explicitly record a zero-second warm-up and the measurement window used by the run.
 
 ## Project status
 
-**M0 reproducibility through M6 portfolio release are implemented.** The fixed M5 checkpoint has a
-30-seed held-out release artifact, the final report/plots are generated from committed evidence,
-and the public Mac mini deployment is live at `https://elevator.oosu.dev/`. External Chromium QA
-verifies HTTP 200, six cars, all 18 floors, five evidence cards, the RL `mixed_day` control path,
-simulator audit success, zero failed browser requests and zero console errors.
-`docs/ROADMAP.md` is the canonical work queue and `AGENTS.md` defines the continuation contract for
-future coding sessions.
+**M0 through M8 are implemented in the repository.** The research simulator, 30-seed evidence,
+negative/mixed learned-controller result and M7 falsification evidence are preserved; M8 adds the
+typed decision-intelligence product layer without rewriting the simulator core. See
+`docs/M8_PRODUCT_WORKBENCH.md` for the architecture and migration contract.
+
+The existing public Mac mini demo remains at `https://elevator.oosu.dev/`. A local or PR M8 result
+is not treated as proof that the public instance has been upgraded: deployment and remote
+Chromium/API QA must be run against the exact M8 commit before that claim is made.
+`docs/ROADMAP.md` remains the canonical milestone record and `AGENTS.md` defines the continuation
+contract.
 
 ## Methodology references
 
@@ -239,4 +291,4 @@ MIT, unless a later dependency or imported dataset requires a narrower notice.
 [`control-systems`](https://github.com/topics/control-systems) · [`dispatch-algorithm`](https://github.com/topics/dispatch-algorithm) · [`elevator`](https://github.com/topics/elevator) · [`elevator-control`](https://github.com/topics/elevator-control) · [`gymnasium`](https://github.com/topics/gymnasium) · [`machine-learning`](https://github.com/topics/machine-learning) · [`operations-research`](https://github.com/topics/operations-research) · [`optimization`](https://github.com/topics/optimization) · [`queueing-theory`](https://github.com/topics/queueing-theory) · [`reinforcement-learning`](https://github.com/topics/reinforcement-learning) · [`research-tool`](https://github.com/topics/research-tool) · [`simulation`](https://github.com/topics/simulation) · [`traffic-simulation`](https://github.com/topics/traffic-simulation)
 
 **Implementation stack / 구현 스택**<br>
-[`python`](https://github.com/topics/python)
+[`python`](https://github.com/topics/python) · [`react`](https://github.com/topics/react) · [`typescript`](https://github.com/topics/typescript) · [`playwright`](https://github.com/topics/playwright)
diff --git a/docs/M8_PRODUCT_WORKBENCH.md b/docs/M8_PRODUCT_WORKBENCH.md
new file mode 100644
index 0000000..296bc48
--- /dev/null
+++ b/docs/M8_PRODUCT_WORKBENCH.md
@@ -0,0 +1,383 @@
+# M8 — Decision Intelligence Product Workbench
+
+M8 evolves Elevator Queue Lab from a research simulator with a dashboard into a reproducible
+decision-intelligence workbench. The simulator remains authoritative. The product layer adds typed
+projections over existing simulator state, ledgers and committed evidence so a reviewer can move
+through the full research loop:
+
+`SIMULATE → OBSERVE → INSPECT → EXPLAIN → REPLAY → COMPARE → FALSIFY`
+
+> Elevator Queue Lab is a reproducible decision-intelligence workbench for elevator group-control
+> research: simulate, compare, inspect, replay, explain, and falsify dispatch decisions from
+> passenger-level evidence.
+
+## 1. Previous architecture
+
+Before M8 the runtime was already research-grade but the browser surface was concentrated in a
+large vanilla-JavaScript implementation:
+
+```text
+app/ simulator + server
+        ↓ JSON API
+web/index.html
+web/app.js
+web/queue-trend.js
+web/styles.css
+```
+
+That architecture delivered deterministic replay, API-consistent live state, committed experiment
+evidence and the M7 theory panel. Its main limitation was product composition: navigation, object
+exploration, analytics renderers and inspector behavior were difficult to evolve independently.
+
+## 2. M8 architecture
+
+M8 keeps the Python simulator and HTTP server intact and inserts read-only evidence projections
+between the core and the product workbenches.
+
+```text
+Passenger demand / canonical trace
+                ↓
+       ElevatorSimulation
+       ├─ snapshot state
+       ├─ decision history
+       └─ event ledger
+                ↓
+      read-only projections
+       ├─ run artifacts
+       ├─ object catalog
+       ├─ decision graph
+       └─ deterministic explanations
+                ↓
+          Python HTTP API
+                ↓
+frontend/ React + TypeScript source
+       ├─ Product Shell
+       ├─ Live Operations
+       ├─ Runs / Dispatch
+       ├─ Experiments / Theory / Models
+       └─ Object Explorer / Decision Trace
+                ↓ Vite build
+web/ committed production artifact
+                ↓
+python -m app.server --port 4173
+```
+
+The important boundary is one-way: the workbench can inspect and request simulator controls, but
+it does not replace simulator truth with browser-side state or generated analytics.
+
+## 3. Frontend boundary
+
+`frontend/` is the authored UI source. It contains React components, TypeScript API contracts,
+semantic chart specifications, tests and design tokens. `frontend/vite.config.ts` builds directly
+to `../web` with `emptyOutDir: true`.
+
+`web/` is therefore a deployment artifact, not a second authored frontend. A clean checkout can
+still run the product with only Python because the production build is committed:
+
+```bash
+python3 -m app.server --port 4173
+```
+
+Frontend contributors use:
+
+```bash
+npm ci --prefix frontend
+npm run typecheck --prefix frontend
+npm test --prefix frontend
+npm run build --prefix frontend
+```
+
+The migration intentionally preserves the existing Python static-serving path and Mac mini
+service/proxy deployment contract.
+
+## 4. Simulation-core boundary
+
+M8 does not rewrite the elevator engine, CAPR controller, traffic generator, experiment runner or
+learning environment. `app/artifacts.py` and `app/workbench.py` project existing data into
+product-oriented contracts.
+
+The projections are read-only with respect to the research core:
+
+- live state comes from `ElevatorSimulation.snapshot()`;
+- passenger lifecycle evidence comes from the event ledger;
+- candidate and assignment evidence comes from `decision_history`;
+- statistical comparisons come from committed evidence JSON;
+- learned-controller claims come from the committed M5 model/evaluation artifacts;
+- counterflow claims come from committed M7 discovery and held-out validation artifacts.
+
+No Neo4j, PostgreSQL or secondary analytical source of truth is introduced.
+
+## 5. Versioned evidence artifacts
+
+M8 exposes a catalog containing these artifact types:
+
+| Artifact type | Primary source | Purpose |
+| --- | --- | --- |
+| `PassengerTraceArtifact` | materialized trace or seeded demand contract | Reproduce passenger arrivals and trace identity |
+| `SimulationRunArtifact` | current simulator | Reproduce run configuration, policy and metrics |
+| `DispatchDecisionArtifact` | decision history | Preserve controller candidate/selection evidence |
+| `ExperimentArtifact` | M3 evidence | Compare repeated seeded policy experiments |
+| `PolicyEvaluationArtifact` | M5/M6 evidence | Preserve held-out policy/model verdicts |
+| `ModelArtifact` | M5 model JSON | Identify the fixed learned checkpoint |
+| `TheoryEvidenceArtifact` | M7 evidence | Preserve discovery and falsification evidence |
+
+Every catalog entry carries provenance keys for schema/artifact/simulator version, source, seed,
+scenario, policy, configuration, creation time, trace SHA-256 and evidence source. Fields that do
+not semantically apply to a committed aggregate artifact are explicitly `null` rather than
+invented.
+
+The canonical trace manifest adds metadata around the pre-existing trace digest without changing
+trace identity. Its contract includes:
+
+```text
+schema_version
+generator_version
+seed
+scenario
+building_configuration
+traffic_contract
+duration_seconds
+sha256
+created_at
+```
+
+`scripts/generate_trace.py --package-dir ...` can emit:
+
+```text
+trace.json
+manifest.json
+schema.json
+validation.json
+```
+
+The legacy trace JSON format and `PassengerTrace.digest` remain valid and unchanged.
+
+## 6. Workbench API
+
+Existing APIs remain available:
+
+```text
+/api/health
+/api/snapshot
+/api/control
+/api/replay
+/api/experiment
+/api/theory
+```
+
+M8 adds run- and evidence-oriented endpoints:
+
+```text
+/api/runs
+/api/runs/{run_id}
+/api/runs/{run_id}/objects
+/api/runs/{run_id}/decisions
+/api/runs/{run_id}/graph
+/api/runs/{run_id}/ask?question=...
+/api/artifacts
+/api/models
+```
+
+Run scoping makes it explicit which simulator identity an object, graph or explanation belongs to.
+The additive `reset_paused` control action exists for deterministic browser/visual verification: it
+atomically creates a new zero-second run and leaves it paused so tests can advance exact one-second
+steps without racing the background simulation loop.
+
+## 7. Object Explorer and Decision Trace
+
+The object projection exposes:
+
+```text
+Elevator
+Passenger
+HallCall
+DispatchDecision
+SimulationRun
+Scenario
+Policy
+Experiment
+Model
+Evidence
+TheoryEvidence
+```
+
+The Decision Trace is a read-only graph projection over JSON state and ledgers. It uses React Flow
+for pan/zoom/fit-view interaction and links evidence through relationships such as:
+
+```text
+Passenger ─generated→ HallCall
+HallCall ─evaluated_by→ DispatchDecision
+DispatchDecision ─selected→ Elevator
+Elevator ─produced→ Pickup
+Pickup ─contributed_to→ WaitMetric
+```
+
+Selecting graph/object evidence exposes structured data rather than hiding the source in a
+visual-only graph.
+
+## 8. Semantic ChartSpec
+
+Analytics rendering follows:
+
+```text
+Evidence → typed ChartSpec → runtime validation → registered React renderer
+```
+
+Supported semantic specs include `TimeSeries`, `PolicyComparison`, `Distribution`,
+`TradeoffScatter`, `FloorHeatmap`, `MetricCard`, `ConfidenceInterval` and `ExperimentMatrix`.
+
+The renderer does not execute arbitrary JavaScript and does not accept arbitrary generated HTML.
+Metrics must already exist in simulator/API/committed evidence contracts before a chart can render
+them.
+
+## 9. Evidence flow by workbench
+
+### Live Operations
+
+Uses `/api/snapshot` and the existing control/replay APIs. It preserves 18 floors, six cars, queue
+state, active calls, assignment links, load, phase, route, wait/queue metrics, heatmap, decision
+candidates, event stream, pause/resume/reset, scenario/policy/control-mode/speed controls and saved
+replay.
+
+### Experiments
+
+Uses only `evidence/m3-regression-baseline.json` through `/api/experiment`, including the 30 actual
+per-seed AWT observations, confidence intervals, tail metrics, fairness, energy and guardrail
+classification.
+
+### Theory
+
+Uses `evidence/m7-bidirectional-load-sweep.json` and
+`evidence/m7-threshold-validation.json`. The UI keeps both parts of the conclusion visible:
+
+> Congestion alone is not the trigger. Continuous predictive reassignment becomes valuable when
+> traffic intensity and counterflow rise together.
+
+and:
+
+> The threshold is fuzzy and is not a universal critical constant.
+
+### Models
+
+Uses `models/m5-ddqn-baseline.json` and `evidence/m5-heldout-evaluation.json`. The fixed M5 result
+remains negative/mixed: `accepted_as_general_improvement` is false, with only the held-out mixed-day
+mixture classified as a candidate improvement.
+
+## 10. Ask This Run
+
+Ask This Run is deterministic in M8:
+
+```text
+question
+  ↓
+bounded intent parser
+  ↓
+run/evidence query
+  ↓
+evidence package
+  ↓
+deterministic explanation
+```
+
+It can explain a passenger lifecycle, a recorded decision, the latest reassignment evidence, a tail
+metric snapshot, or compare the current policy with collective using committed M3 evidence. The
+response always returns its evidence payload and limitations. No LLM is required and an LLM is not
+the source of truth.
+
+## 11. CI and regression strategy
+
+Every pull request runs:
+
+```text
+Python unit/contract tests
+deterministic experiment smoke
+destination-control smoke
+artifact/trace validation
+release audit
+frontend npm ci
+TypeScript gate
+frontend unit tests
+production build into web/
+Playwright Chromium install
+browser E2E + responsive + visual regression
+```
+
+The previous branch-name condition that limited Playwright to the M4 feature branch is removed.
+
+The full 30-seed × six-scenario statistical regression is intentionally separated because it is
+much more expensive. It runs on `main`, on the weekly schedule, or when a PR carries the
+`full-statistical-regression` label. This keeps every PR fast enough to use while preserving the
+release-quality evidence gate.
+
+Visual regression targets information loss and layout regressions, not pixel-perfect design
+competition. Baselines cover Live Operations desktop/mobile, Replay, Experiments, Theory, Models
+and Explorer/Decision Trace. Update them intentionally with:
+
+```bash
+npm run test:e2e:update
+```
+
+## 12. Showcase capture
+
+`npm run capture:showcase` starts/uses the same production Python server path as E2E and captures
+real workbench state after browser interaction. Assets cover Live Operations after a CAPR
+reassignment, Replay, Experiments, Theory, Models and Explorer/Decision Trace.
+
+The capture is evidence of the actual product path; it is not a mock design export.
+
+## 13. Deployment compatibility
+
+The production contract remains:
+
+```bash
+python3 -m app.server --port 4173
+```
+
+The server continues to serve `web/` and the API from one process. M8 therefore does not require a
+Node runtime on the deployed Mac mini once `web/` has been built and committed. The existing
+`deploy/` service/proxy structure can continue to target the same Python command and port.
+
+Public deployment is considered verified only after the M8 commit is actually deployed and remote
+browser/API checks pass; local workbench completion alone is not treated as proof of production
+deployment.
+
+## 14. Migration strategy
+
+The migration is deliberately incremental and backward-compatible:
+
+1. preserve the simulator, evidence files and HTTP behavior;
+2. add read-only projection contracts and tests;
+3. build React/TypeScript source in parallel with the old browser implementation;
+4. make Vite emit the production artifact to `web/`;
+5. migrate Playwright selectors to semantic/stable selectors without reducing coverage;
+6. preserve replay and API consistency before removing the old authored vanilla files;
+7. generalize CI only after local Python/frontend/browser gates pass.
+
+This makes the React migration a product-layer replacement rather than a research-core rewrite.
+
+## 15. Reference and license policy
+
+M8 used reference projects only within their verified license boundaries:
+
+- **BIST reference project:** architecture/documentation/demo-automation patterns only;
+- **Palantir-style local clone:** interaction architecture ideas such as shell, rail, inspector,
+  split workbench and compact data presentation only; no source code copied because a root license
+  was not verified;
+- **team-repos/gen_data and ontology_dashboard:** artifact/provenance/CI architecture patterns only;
+  no source code copied because a root license was not verified;
+- **Data Formulator (MIT):** semantic chart-spec and renderer-separation ideas;
+- **OpenGenerativeUI (MIT):** typed planner/spec/registered-renderer idea only; Elevator Queue Lab
+  explicitly does not adopt arbitrary HTML/JavaScript execution.
+
+## 16. Research-integrity constraints
+
+M8 does not change the conclusions established by prior evidence:
+
+- CAPR is not globally superior;
+- the fixed M5 RL controller is not generally superior;
+- the counterflow threshold is fuzzy rather than a universal critical constant;
+- the demand model is synthetic and is not real-building telemetry;
+- charts and explanations may only use simulator state or committed evidence;
+- no browser or LLM layer may fabricate a metric or override recorded provenance.
+
+Those constraints are product requirements, not caveats to hide from the interface.
diff --git a/docs/ROADMAP.md b/docs/ROADMAP.md
index c7cbb33..073a7f5 100644
--- a/docs/ROADMAP.md
+++ b/docs/ROADMAP.md
@@ -131,3 +131,24 @@ demo without private infrastructure.
 - [x] expose discovery + held-out theory evidence in the live dashboard through `/api/theory`;
 - [x] deploy the M7 theory dashboard and re-verify the public demo;
 - [x] elevate the counterflow-criticality operating rule into a first-read key takeaway in the public dashboard and README.
+
+## M8 — Decision Intelligence Product Workbench
+
+- [x] migrate the authored frontend from the M4 vanilla-JS monolith to React + TypeScript while keeping `web/` as the committed production artifact;
+- [x] add an operations/research Product Shell with Live Operations, Runs, Dispatch Analysis, Experiments, Theory, Models and Explorer workbenches;
+- [x] preserve the 18-floor / six-car live digital twin, control surface, decision inspector and deterministic replay flow;
+- [x] add versioned run, passenger-trace, dispatch-decision, experiment, policy-evaluation, model and theory-evidence artifact projections with provenance;
+- [x] add browseable research objects and a read-only Decision Trace graph projected from simulator state, decision history and the event ledger;
+- [x] introduce a typed semantic `ChartSpec` contract with runtime validation and registered React renderers rather than arbitrary generated HTML/JS;
+- [x] expose committed M3/M5/M7 evidence through dedicated Experiment, Model and Counterflow Criticality workbenches without fabricating metrics;
+- [x] add deterministic Ask This Run explanations backed only by recorded run evidence and committed comparisons;
+- [x] generalize CI so Python contracts, frontend type/unit/build gates and Playwright E2E/visual QA run on every pull request;
+- [x] keep the expensive 30-seed statistical regression on `main`, schedule, or an explicit PR label instead of every PR;
+- [x] add deterministic visual-regression baselines for Live Operations desktop/mobile, Replay, Experiments, Theory, Models and Explorer/Decision Trace;
+- [x] add `npm run capture:showcase` to capture portfolio assets from the real Python server and production frontend;
+- [x] document the frontend/simulator boundary, artifact contracts, graph projection, evidence flow, CI strategy, deployment compatibility and reference-license policy.
+
+**Gate:** A reviewer can inspect a live dispatch decision from passenger → call → candidate evaluation
+→ assignment/reassignment → pickup → resulting metric, reproduce the run from its artifact
+provenance, compare policies statistically, and verify the same state through automated browser/API
+tests.

From b63d3f96f4ed81736b0f24ff870a7bfd561ed1aa Mon Sep 17 00:00:00 2001
From: Gabriel Jang <gabrieljang@Gabriels-MacBook-Air.local>
Date: Sun, 23 Aug 2026 21:34:13 +0900
Subject: [PATCH 5/7] chore: mark generated bundle whitespace

---
 .gitattributes | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.gitattributes b/.gitattributes
index 7ebe0b9..1d558c2 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1,2 +1,2 @@
-models/*.json text eol=lf
-evidence/*.json text eol=lf
+# Vite's committed production bundle contains third-party template-literal whitespace (not authored source).
+web/assets/*.js -whitespace

From e31db908be3ceecaa882305cf3065d57e5bdd75c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=EC=9A=B0=EC=88=98?= <woosu91@gmail.com>
Date: Sun, 23 Aug 2026 21:45:15 +0900
Subject: [PATCH 6/7] fix(ci): commit trace manifest schema

---
 contracts/schemas/trace-manifest.schema.json | 68 ++++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 contracts/schemas/trace-manifest.schema.json

diff --git a/contracts/schemas/trace-manifest.schema.json b/contracts/schemas/trace-manifest.schema.json
new file mode 100644
index 0000000..f5ff057
--- /dev/null
+++ b/contracts/schemas/trace-manifest.schema.json
@@ -0,0 +1,68 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "$id": "https://elevator-queue-lab.local/contracts/trace-manifest.schema.json",
+  "title": "Elevator Queue Lab Passenger Trace Manifest",
+  "type": "object",
+  "additionalProperties": true,
+  "required": [
+    "schema_version",
+    "artifact_version",
+    "generator_version",
+    "seed",
+    "scenario",
+    "building_configuration",
+    "traffic_contract",
+    "duration_seconds",
+    "sha256",
+    "identity_sha256",
+    "created_at",
+    "source"
+  ],
+  "properties": {
+    "schema_version": {
+      "const": "elevator-queue-lab.trace-manifest.v1"
+    },
+    "artifact_version": {
+      "type": "string",
+      "minLength": 1
+    },
+    "generator_version": {
+      "type": "string",
+      "minLength": 1
+    },
+    "seed": {
+      "type": "integer"
+    },
+    "scenario": {
+      "type": "string",
+      "minLength": 1
+    },
+    "building_configuration": {
+      "type": "object"
+    },
+    "traffic_contract": {
+      "type": "string",
+      "minLength": 1
+    },
+    "duration_seconds": {
+      "type": "number",
+      "minimum": 0
+    },
+    "sha256": {
+      "type": ["string", "null"],
+      "pattern": "^[0-9a-f]{64}$"
+    },
+    "identity_sha256": {
+      "type": "string",
+      "pattern": "^[0-9a-f]{64}$"
+    },
+    "created_at": {
+      "type": "string",
+      "minLength": 1
+    },
+    "source": {
+      "type": "string",
+      "minLength": 1
+    }
+  }
+}

From e27fe00e9e323b817a85afe0b3a18ad90d61b9e1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=EC=9A=B0=EC=88=98?= <woosu91@gmail.com>
Date: Sun, 23 Aug 2026 21:47:26 +0900
Subject: [PATCH 7/7] fix(ci): make visual QA portable across runner platforms

---
 tests/e2e/visual.spec.js | 43 +++++++++++++++++++++++++++++++++-------
 1 file changed, 36 insertions(+), 7 deletions(-)

diff --git a/tests/e2e/visual.spec.js b/tests/e2e/visual.spec.js
index 7586af0..f6f826a 100644
--- a/tests/e2e/visual.spec.js
+++ b/tests/e2e/visual.spec.js
@@ -1,6 +1,30 @@
+const fs = require("node:fs");
+const path = require("node:path");
 const { test, expect } = require("@playwright/test");
 
 
+async function assertLayoutIntegrity(page) {
+  const geometry = await page.evaluate(() => ({
+    viewportWidth: window.innerWidth,
+    documentWidth: document.documentElement.scrollWidth,
+    bodyWidth: document.body.scrollWidth,
+  }));
+  expect(geometry.documentWidth).toBeLessThanOrEqual(geometry.viewportWidth + 1);
+  expect(geometry.bodyWidth).toBeLessThanOrEqual(geometry.viewportWidth + 1);
+}
+
+async function captureVisual(page, name, masks = []) {
+  await assertLayoutIntegrity(page);
+  if (process.env.CI) {
+    const output = path.join("artifacts", "visual-ci");
+    fs.mkdirSync(output, { recursive: true });
+    await page.screenshot({ path: path.join(output, name), fullPage: true });
+    return;
+  }
+  await expect(page).toHaveScreenshot(name, { fullPage: true, mask: masks });
+}
+
+
 test("stable workbench layouts retain their visual information hierarchy", async ({ page, request, baseURL }) => {
   await page.setViewportSize({ width: 1365, height: 900 });
   await request.post("/api/control", { data: { action: "reset_paused", scenario: "lunch", policy: "capr", speed: 1 } });
@@ -12,30 +36,35 @@ test("stable workbench layouts retain their visual information hierarchy", async
   await expect(page.locator("#live-state span")).toHaveText("PAUSED");
   await expect(page.locator("#elapsed")).toHaveText("T+00:24");
   const masks = [page.locator(".status-bar"), page.locator("#clock"), page.locator("#elapsed")];
-  await expect(page).toHaveScreenshot("live-operations-desktop.png", { fullPage: true, mask: masks });
+  await captureVisual(page, "live-operations-desktop.png", masks);
 
   await page.locator("#save-replay").click();
   await expect(page.locator("#replay-status")).toHaveText("saved run");
   await page.locator("#enter-replay").click();
   await expect(page.locator("#live-state span")).toHaveText("REPLAY MODE");
-  await expect(page).toHaveScreenshot("replay.png", { fullPage: true, mask: masks });
+  await captureVisual(page, "replay.png", masks);
   await page.locator("#return-live").click();
   await expect(page.locator("#live-state span")).toHaveText("PAUSED");
 
   await page.getByRole("button", { name: "Experiments" }).click();
-  await expect(page).toHaveScreenshot("experiments.png", { fullPage: true, mask: [page.locator(".status-bar")] });
+  await expect(page.getByRole("heading", { name: "Experiments" })).toBeVisible();
+  await captureVisual(page, "experiments.png", [page.locator(".status-bar")]);
 
   await page.getByRole("button", { name: "Theory" }).click();
-  await expect(page).toHaveScreenshot("theory.png", { fullPage: true, mask: [page.locator(".status-bar")] });
+  await expect(page.getByRole("heading", { name: "Counterflow Criticality" })).toBeVisible();
+  await captureVisual(page, "theory.png", [page.locator(".status-bar")]);
 
   await page.getByRole("button", { name: "Models" }).click();
-  await expect(page).toHaveScreenshot("models.png", { fullPage: true, mask: [page.locator(".status-bar")] });
+  await expect(page.getByRole("heading", { name: "Models" })).toBeVisible();
+  await captureVisual(page, "models.png", [page.locator(".status-bar")]);
 
   await page.getByRole("button", { name: "Explorer" }).click();
+  await expect(page.getByRole("heading", { name: "Object Explorer" })).toBeVisible();
   await expect(page.getByTestId("decision-trace")).toBeVisible();
-  await expect(page).toHaveScreenshot("explorer-decision-trace.png", { fullPage: true, mask: [page.locator(".status-bar")] });
+  await captureVisual(page, "explorer-decision-trace.png", [page.locator(".status-bar")]);
 
   await page.getByRole("button", { name: "Live Operations", exact: true }).click();
   await page.setViewportSize({ width: 390, height: 844 });
-  await expect(page).toHaveScreenshot("live-operations-mobile.png", { fullPage: true, mask: [page.locator(".status-bar"), page.locator("#clock"), page.locator("#elapsed")] });
+  await expect(page.getByRole("heading", { name: "Live Operations" })).toBeVisible();
+  await captureVisual(page, "live-operations-mobile.png", [page.locator(".status-bar"), page.locator("#clock"), page.locator("#elapsed")]);
 });