ThinkerTools

I built an AI-native education platform that turns a single prompt into a playablee game. A teacher or learner provides a concept, and the system generates the core mechanics (objective, rules, moves, levels), then supports play-testing with AI-assisted turns and summaries. A key piece was unlocking legacy PHP value. I used Codex to extract core game logic (rules, scoring, turn flow, edge cases), separate business logic from outdated implementation details, and migrate it into reusable modules in a modern architecture. Codex App was my end-to-end engine, built with orchestrated agents running in parallel: Thread 0 backend foundation (Supabase wiring, env validation, shared utilities), Agent 1 WOI APIs, Agent 2 generation, summarization, instrumentation, Agent 3 WOI frontend and library integration, Agent 4 RLS probe and debugging tools, and Thread 7 smoke tests, QA, and demo runbook. This reduced bottlenecks and merge conflicts and sped up demo readiness.