MetaECU Copilot (MGSupport)

AI proposes. Physics disposes. MetaECU Copilot is the first autonomous, verifiable automotive calibration engine where deterministic physics gates verify Meta AI reasoning before cyber-physical actuation. In automotive powertrains, language model hallucinations break hardware: requesting excessive torque shatters clutches and destroys dual-mass flywheels. MetaECU Copilot solves this: 1. Ingests genuine 2 MiB flash dumps from Bosch EDC16C39 ECUs (Motorola MPC562, Saab 9-3 1.9 TiD) across 774 defined Bosch calibration maps without requiring expensive WinOLS DAMOS/A2L files. 2. The tuner specifies natural language intent (e.g., "Give me 450 Nm, maximum power"). 3. Meta Muse Spark plans the multi-dimensional calibration vector as structured JSON. 4. When testing the 450 Nm boundary, the engine revs on the acoustic virtual dyno until 2200 RPM, where the Deterministic Safety Gate halts execution: effective torque (438.5 Nm) breaches the GM F40 transmission limit (377.0 Nm @ 90°C). 5. Closed-loop self-correction autonomously feeds the violation back to Muse Spark to recalculate inside the safe physical envelope down to 376.5 Nm (414 Nm indicated, 202.5 PS). 6. 3D visual grounding inspects the surgical calibration surface, while SAM 3.1 analyzes road-dyno curves. 7. The binary is mathematically sealed with a verified 32-bit big-endian checksum (0xD01FE500) and verified on 33 real OBD-II road logs (turbo spool lag reduced from 4.90s to 1.34s, -3.56s faster). Live Cloud Product (Modal): https://michaelgrycz--metaecu-copilot-web.us-east.modal.run GitHub Repository: https://github.com/MichaelGrycz/MetaECU-Copilot