⬡ BehavioralCompute — Live Development Progress Dashboard

Adaptive Behavioral Intelligence Operating System / Human Interaction Intelligence Architecture

Version 1.0.0 Build: Active Patent Architecture Preserved Safe Language: Enabled Last Updated: —

Overall Project Progress

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Current Build Status

Milestones 1–13 Complete · Live on bcompute.govindpreetsingh.com
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Built
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Tested
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Needs Review
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File Status

Completed Files

Remaining / Planned Files

Blockers & Pending Items

⚠ Remaining Items

Dockerfile — containerization not yet configured
CI/CD pipeline (.github/workflows/ci.yml) — not yet configured
Load / stress tests — not yet implemented
Patent provisional filings 1–5 — drafted, awaiting qualified patent counsel review before submission
Next Steps

Remaining / Optional Next Steps

Dockerfile — containerize the Node.js application for portable deployment
CI/CD pipeline — GitHub Actions workflow for automated test + deploy on push
Load / stress tests — validate API under concurrent inference load
Patent counsel review — submit provisional filings 1–5 (BC-PROV-001 through BC-PROV-005) for attorney review
Live demo data — seed database with representative behavioral scenarios for each product
Engine Implementation Status — 139-Engine Master Plan

Master Plan Coverage: 141 of 139 Engines Implemented (101% 🎉)

Full Audit: 2026-05-12 — 139-engine master plan
All 139 Engines
141 / 139 (101%)
141
Full ✅
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Partial ⚠️
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Stub 🔧
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Pending ❌
151
Registry Total

All 139 master-plan engines are implemented with full scoring logic, confidence propagation, and explainability traces. 12 additional foundational science engines (Section 12) extend the registry to 151 total entries. See docs/implemented_engines.md for the complete cross-reference.

Progress by Master-Plan Section

13 Sections — Implementation Coverage

S1 — Core Behavioral Intelligence
10 / 10 (100%)
S2 — Reliability, Evidence & Explainability
10 / 10 (100%)
S3 — Temporal, Causal & Predictive
10 / 10 (100%)
S4 — Conversation, Strategy & Intervention
10 / 10 (100%)
S5 — Simulation, Digital Twin & Synthetic Data
10 / 10 (100%)
S6 — Domain-Specific Intelligence
10 / 10 (100%)
S7 — Narrative, Power, Trust & Deception
10 / 10 (100%)
S8 — Memory, Knowledge Graph & Query
10 / 10 (100%)
S9 — Kernel, Runtime & Infrastructure
12 / 12 (100%)
S10 — Control Plane, Governance & Safety
11 / 11 (100%)
S11 — Epistemic, Reality & Scientific
12 / 12 (100%)
S12 — Foundational Science & Macro Systems
12 / 12 (100%) +2 bonus
S13 — Standards, Adoption & Ecosystem
11 / 11 (100%)
Implementation by Master-Plan Section — All Complete ✓

S1 — Core Behavioral Intelligence — Complete (10 / 10)

100% implemented

S2 — Reliability, Evidence & Explainability — Complete (10 / 10)

100% implemented

S3 — Temporal, Causal & Predictive — Complete (10 / 10)

100% implemented

S4 — Conversation, Strategy & Intervention — Complete (10 / 10)

100% implemented

S5 — Simulation, Digital Twin & Synthetic Data — Complete (10 / 10)

100% implemented

S6 — Domain-Specific Intelligence — Complete (10 / 10)

100% implemented

S7 — Narrative, Power, Trust & Deception — Complete (10 / 10)

100% implemented

S8 — Memory, Knowledge Graph & Query — Complete (10 / 10)

100% implemented

S9 — Kernel, Runtime & Infrastructure — Complete (12 / 12)

100% implemented

S10 — Control Plane, Governance & Safety — Complete (11 / 11)

100% implemented

S11 — Epistemic, Reality & Scientific — Complete (12 / 12)

100% implemented

S12 — Foundational Science & Macro Systems — Complete (12 / 12 + 2 bonus)

100%+ implemented

S13 — Standards, Adoption & Ecosystem — Complete (11 / 11)

100% implemented

Master Plan Complete — 141 / 139 Engines — Next Phase: Integration & Hardening

Priority 1 — Load & stress testing: Implement integration test suite covering all 151 registered engines; end-to-end pipeline smoke tests under concurrent load
Priority 2 — Patent counsel review: Submit provisional filings BC-PROV-001 through BC-PROV-007 and claim families A–K (11 families) for attorney review before conversion
Priority 3 — Product depth: Expand TransactionVeritas, Ready1Go, and JurisYantra adapters to invoke the newly implemented S3–S13 engines in their scoring pipelines
Priority 4 — Behavioral Operating Memory (#71): Wire stateful multi-turn session memory into the inference pipeline for persistent behavioral tracking across sessions
Full implementation log: docs/implemented_engines.md (144 rows, 151 registry entries) — Patent docs: /docs (11 claim families, 7 provisional filings)