I upgraded the AI-to-Hardware pipeline by injecting a custom Python physics module and a CLI dashboard (using the Rich library). To test the fail-safes, I intentionally prompted the local Phi-3 model to design a massive 387mm drone for a Martian environment, requesting paper-thin 2mm arms.The AI extracted the JSON, but my physics engine intercepted the data before generation. It calculated the aerodynamic drag forces, flagged the 2mm arms as a structural failure, and automatically overrode the dimension to a safe 6.0mm minimum. The script then printed the telemetry to my custom dashboard and automatically launched the corrected 3D blueprint in OpenSCAD.