# Team Wexy

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [VIKAS KUMAR SINGH](https://cerebralvalley.ai/u/vikaskumarsingh)
- **GitHub:** https://github.com/flarelink-in/wexy
- **Demo video:** https://youtu.be/ZXJ62_oP4Gk
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2361

Wexy (https://wexy.ai) is an agentic WebGPU authoring studio that turns natural-language ideas into real-time, interactive GPU programs in the browser. It helps developers and visual creators prototype procedural worlds without hand-writing every shader and engine interface.

Unlike text-to-video systems that return rendered clips, Wexy generates executable programs that users can explore and adjust locally. Meta's models design the scene and write constrained GPU code; Wexy's verification and repair pipeline bridges the gap between generated code and a working interactive world.

Structured Planning & Code Generation: Meta Model API translates visual prompts into structured scene designs, rendering decisions, and modular WGSL shader code that targets defined engine contracts.

Contract Validation & Automated Repair: Wexy checks generated candidates against engine interfaces and uses compiler and contract diagnostics to guide multi-turn model repair. The model proposes code; deterministic checks determine whether it meets the supported contracts.

Local WebGPU Execution: After validation and explicit user approval, candidates run on the user's GPU through NullGraph (TypeScript/Vite/WebGPU). Creators can move the camera, adjust supported scene parameters, and capture MP4 video locally, without a new model request for every viewpoint.

Inspectable Agentic Workflow: Judges can explore the studio or inspect the step-by-step developer flow at https://wexy.ai/studio.html?agent=1, including model-call diagnostics, generated artifacts, and candidate checks. Saved worlds and replay fixtures provide additional inspection paths, clearly separated from live Meta inference.

## More from Meta Global AI Developer Hackathon

- [Proof Pilot](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2358)
- [Digital Dude](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2359)
- [Epigen](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2360)
- [Anzo Benjamin](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2362)
- [KORA Scribe](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2363)
- [transformadores](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2364)

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