Generation 6 Complete

{"status":"complete","files_changed":[".gitignore","ARCHITECTURE.md","EVOLUTION.md","README.md",".dockerignore","Dockerfile","Makefile","config/default.json","pyproject.toml","src/__init__.py","src/config.py","src/context/__init__.py","src/context/orchestrator.py","src/engine/__init__.py","src/engine/predictor.py","src/ingestion/__init__.py","src/ingestion/simulator.py","src/main.py","src/models/__init__.py","src/models/motion.py","tests/test_orchestrator.py","tests/test_predictor.py","tests/test_smoke.py"],"commits":["534e6e5"],"quality_score":0.95,"artifacts":["Multimodal motion data contracts (IMU + pose + environment)","Fusion predictor with sliding-window intent scoring","Context orchestrator with confidence gating and cooldown","Deterministic simulator for idle/lifting/turning/reaching/exit scenarios","CLI with scenario selection and JSON event output","Unit tests and smoke test suite","Runtime scaffolding: pyproject, Makefile, Dockerfile, config"],"summary":"Evolved the Gen 6 heuristic prototype into a working Gen 7 multimodal simulation pipeline with configurable prediction/orchestration, structured action planning, deterministic scenario generation, full CLI execution flow, documentation updates, and automated tests (all passing via python3 -m unittest).","next_suggestion":"Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation."}