Thought to Reality

Thought to Reality turns a natural-language request into a mechanical part or a full product. A designer model writes parametric CAD; an independent critic and a MuJoCo physics verifier that never reads the designer's notes check fit and load; failed checks go back for a repair round. Across parts, skill versions are adopted only if they beat a held-out set. Moving products such as a mini robot dog also get trained RL policies. Built with Gemini, Meta Muse, Fetch.ai, Subquadratic, and MongoDB at the AIE Code Summit Hackathon.