🗺️ NEXT STEPS ROADMAP - Post-Training Integration

**Date**: October 29, 2025 **Current Status**: ✅ All models trained (RPS: 99.94% coherence, Mapper: 0.060 MSE) **Phase**: Integration & Sound Engine Connection We have successfully trained all core models with exceptional performance. The computational choreography system is now ready for integration testing and connection to the generative sound engine. This document outlines the complete roadmap from current state to live performance readiness. **Models Trained**: - RPS Encoders (M1): 99.94% coherence, 0.0002 loss - Latent Normalizer (M2): Statistics collected from 60k frames - GRU Control Mapper (M3): 0.060 MSE, excellent smoothness - All checkpoints saved and visualizations generated **Infrastructure**: - Complete Python codebase with modular architecture - Comprehensive test suite covering all components - Synthetic data generation pipeline (120k frames) - Training scripts and evaluation metrics - Documentation and research papers **Remaining Core Models (Optional)**: - M4: Look-Ahead Predictor (predictive scheduling) - M5: Gesture Detector (macro triggers) - M6: Reward Model (preference learning) - M7: Bar-Rate Planner (scene management)