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TrajectoryOS - Project Status Report

**What We Have**: Fully functional TypeScript-based life physics engine with web dashboard **What's Missing**: AI-powered features (interview, agents), Python ML models, Echelon integration **Critical Path**: LLM integration for Interview → Background analysis agents → Echelon embodied signals

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# TrajectoryOS - Project Status Report **Last Updated**: December 21, 2025 **Phase**: 1 (Core Life Physics Implementation) **What We Have**: Fully functional TypeScript-based life physics engine with web dashboard **What's Missing**: AI-powered features (interview, agents), Python ML models, Echelon integration **Critical Path**: LLM integration for Interview → Background analysis agents → Echelon embodied signals **Current State**: ~50% Complete (Honest Assessment) - ✅ **Life Physics Engine**: **100%** (TypeScript implementation, production-ready) - ✅ **State Management**: **100%** (Prisma, database, API endpoints) - ✅ **Web Dashboard**: **85%** (functional UI, needs polish) - 🚧 **Interview System**: **20%** (endpoints exist, no LLM) - 🔮 **Python ML Models**: **0%** (designed but not built) - 🔮 **Echelon Integration**: **0%** (stub service only) The core life physics model is fully implemented in TypeScript and production-ready: ### 1. Physics Calculations ✅ - **Escape Index**: `η = T / (G × M)` where T includes alignment - **Thrust Computation**: `T = A × Σ(skill_level × utilization × weight)` - **Regime Detection**: Falling, Approaching, Threshold, Escaping, Free - **Escape Velocity**: Rate of change in η over time

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