ANSWERR

Zero-Latency Reflex AI & Dual-Cognition Decision Workspace

A unified dual-cognition decision framework that translates high-level natural language intent (System-2) into zero-memory, deterministic WERR procedural reflexes (System-1)—delivering sub-microsecond execution latency and zero runtime hallucination.

Quickstart • Dual-Cognition Architecture • API Reference • WebMCP & Benchmarks • Enterprise Portal • Ecosystem • Research Chronology • Türkçe Dokümantasyon

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🏛️ The Paradigm

Modern autonomous agents and enterprise automation workflows are constrained by a critical failure mode: probabilistic non-determinism in critical execution paths. Passing complex operations directly to large generative models introduces unpredictable latency ($500,\text{ms} - 3,\text{s}$), high token costs, and catastrophic edge-case hallucinations.

answerr resolves this bottleneck through a Dual-Cognition Cognitive Pipeline:

1. System-2 (Deliberative Compiler): High-level intent, security policies, and natural language instructions are processed to formulate bounded coordinate invariants.
2. System-1 (Deterministic WERR Reflex): Runtime execution, API gating, and state transitions are dispatched through the WERR zero-memory fractal engine in $\le 0.3,\mu\text{s}$ with zero neural weights and zero VRAM footprint.

                      User Prompt / Enterprise Policy
                                     │
                                     ▼
                    ┌─────────────────────────────────┐
                    │      System-2 Deliberation      │
                    │   Natural Language Compiler     │
                    └────────────────┬────────────────┘
                                     │ Deterministic Seed Projection
                                     ▼
                    ┌─────────────────────────────────┐
                    │       System-1 WERR Reflex      │
                    │   Zero-Memory Escape Invariant  │  ◄── < 0.3 μs Execution
                    └────────────────┬────────────────┘
                                     │
                 ┌───────────────────┼───────────────────┐
                 ▼                   ▼                   ▼
           [ALLOW / DENY]     [Route Index]       [Risk Metric]
             noul(q, c)       choice(q, opts)      score(m, v)

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⚡ Quickstart & Local API

The answerr API server can be executed locally or deployed via Docker container.

Local Python Setup

git clone https://github.com/pCwOrM/answerr.git
cd answerr
pip install -r requirements.txt
uvicorn server:app --host 0.0.0.0 --port 8000

Fast Reflex Decision Call

import requests

# Dispatch a sub-microsecond System-1 reflex gate
response = requests.post(
    "https://api.answerr.me/v1/systemone/gate",
    json={
        "question": "Allow automated withdrawal of 500 USDC?",
        "context": "Daily velocity: 500/10000 limit, whitelisted receiver 0x48f..."
    }
)

decision = response.json()
print("Reflex Gate Decision:", decision)
# Output: {"allowed": true, "latency_us": 0.28, "engine": "werr-v0.5.1"}

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📐 API Endpoints & Usage

answerr exposes a high-throughput, OpenAPI-compliant REST API:

Endpoint	Method	Cognition Tier	Functionality
/v1/systemone/gate	POST	System-1 (WERR)	Ultra-fast binary boolean reflex (noul)
/v1/systemone/choice	POST	System-1 (WERR)	Deterministic categorical option router (choice)
/v1/systemone/score	POST	System-1 (WERR)	Continuous normalized severity/risk score (score)
/v1/policies/compile	POST	System-2 $\rightarrow$ System-1	Compiles natural language rules into immutable reflex seeds
/v1/audit/verify	POST	Deterministic Audit	Verifies execution hash against Lean 4 topological boundary

Interactive Swagger documentation is available at https://api.answerr.me/docs.

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📊 Empirical Benchmarks & WebMCP

answerr has been benchmarked extensively under rigorous automated environments:

• WebMCP Evaluation: Attained 100% zero-defect decision accuracy across 42 automated browser test scenarios (windtunnel_webmcp_evaluation.py).
• Throughput Capacity: Benchmarked at > 3,200,000 evaluations/sec per CPU core without memory allocations.
• Latency Profile: $p_{50} = 0.28,\mu\text{s}$, $p_{99} = 0.35,\mu\text{s}$, effectively eliminating AI inference overhead from critical microservice call paths.

Full empirical logs, stress-test transcripts, and ablations are preserved in RESEARCH_CHRONOLOGY.md.

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🌐 Enterprise Workspace & Pro Portal

answerr delivers both a free public interface and an enterprise governance tier:

• Public Portal: https://answerr.me — Interactive decision sandbox and model exploration.
• Enterprise Console: https://answerr.me/pro/ — Policy compiler, role-based access gates, and real-time audit ledger.
• WerrSoma Visualizer: https://werrsoma.answerr.me — High-dimensional connectome and decision topology visualizer.

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🌐 The WERR Ecosystem

answerr integrates seamlessly into the tri-fold WERR architectural stack:

                          ┌─────────────────────────────┐
                          │            WERR             │
                          │   Core Mathematical Engine  │
                          │  Zero-Memory System-1 Reflex │
                          └──────────────┬──────────────┘
                                         │
                 ┌───────────────────────┴───────────────────────┐
                 ▼                                               ▼
  ┌─────────────────────────────┐                 ┌─────────────────────────────┐
  │          Werracle           │                 │           answerr           │
  │   On-Chain Decision Oracle  │                 │  Dual-Cognition Workspace   │
  │  DeFi Risk Radar & DaaS     │                 │ Natural Language Gating API │
  │   https://radar.werracle.com│                 │     https://answerr.me      │
  └─────────────────────────────┘                 └─────────────────────────────┘

• werr: The core procedural fractal engine and Lean 4 certified formal proofs.
• werracle: On-chain EVM oracle, Q16.16 escape math, and Uniswap v4 fee hooks.
• answerr: Dual-cognition workspace, natural language policy compiler, and cloud REST endpoints.

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📄 Academic Citation & Archival References

If you cite or replicate this research in scientific publications, please use the following metadata:

@software{dagli2026answerr,
  author       = {Dağlı, Volkan and Dağlı, Zerrin and Dağlı, Dağhan},
  title        = {{answerr: Zero-Latency Reflex AI and Dual-Cognition Decision Workspace}},
  month        = oct,
  year         = 2026,
  publisher    = {Zenodo},
  version      = {v1.1.0},
  doi          = {10.5281/zenodo.22939253},
  url          = {https://github.com/pCwOrM/answerr}
}

• Associated Preprint: arXiv:2609.25498 [cs.AI / math.DS] (https://arxiv.org/abs/2609.25498)
• Full Research Chronology: RESEARCH_CHRONOLOGY.md

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⚖️ License & Intellectual Property

• Open-Science, Educational & Evaluation Use: The Licensed Work is free to run, inspect, benchmark, test, fork, and replicate for all non-commercial academic research, personal evaluations, and testing under the Business Source License 1.1 (BSL 1.1).
• Commercial Operations & Production Licensing: Any commercial production use, hosted SaaS deployment, or commercial integration requires a written Commercial License from the Licensor:
  • Licensor: ITOUCH BİLİŞİM SİSTEMLERİ MÜHENDİSLİK DANIŞMANLIK SANAYİ VE TİCARET LİMİTED ŞİRKETİ (ITouch Systems · Cukurova University Science Park, Adana, Türkiye).
  • Scientific Co-Authors & Inventors: Volkan Dağlı (Anadolu University), Dr. Zerrin Dağlı (Mersin University — Academic Advisor, Co-Author & Co-Inventor), Dağhan Dağlı (Toros University — Co-Author & Co-Inventor).
  • Chain of Title & Assignment: The scientific co-authors have irrevocably assigned administrative and IP management authority to Volkan Dağlı, who has transferred exclusive global commercial licensing and operational rights to ITouch Systems.
  • Trademarks: WERR™, Werracle™, answerr™, and WerrSoma™ are trademarks owned exclusively by ITouch Systems.
  • Patent Applications: TÜRKPATENT TR 2026/016285 & TR 2026/016633.
  • Inquiries: [email protected] · [email protected]

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_{Developed by ITouch Systems · Cukurova University Science Park, Adana, Turkey
Copyright © 2026 ITouch Bilişim Sistemleri Ltd. Şti. All rights reserved.}