# ThinkerTools

- **Event:** [OpenAI Codex Hackathon](https://cerebralvalley.ai/e/openai-codex-hackathon)
- **When:** Thu, Feb 5 at 9:00 AM – 9:00 PM (PST)
- **Where:** Location TBA
- **Team:** [Ali Kapadia](https://cerebralvalley.ai/u/alik)
- **GitHub:** https://github.com/akac2016/thinkertools2
- **Demo video:** https://drive.google.com/file/d/1gtyFGGmliybkBBdnFDmyOWtEixwmFzam/view?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/openai-codex-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openai-codex-hackathon/hackathon/gallery/48

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 I used Codex to extract core game logic (rules, scoring, turn flow, edge cases), separate business logic from outdated implementation details, and migrate it into reusable modules in a modern architecture.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.

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Markdown version of https://cerebralvalley.ai/e/openai-codex-hackathon/hackathon/gallery/48. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt