# dream3d

- **Event:** [Claude Build Day](https://cerebralvalley.ai/e/claude-startups-build-day)
- **When:** Sat, Jun 13 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Chao Li](https://cerebralvalley.ai/u/chnlich)
- **GitHub:** https://github.com/chnlich/dream3d
- **Website:** https://chaoasus-1.tailb4091b.ts.net:8443/studio.html
- **Demo video:** https://youtu.be/wIIpdUDz74A
- **Gallery:** https://cerebralvalley.ai/e/claude-startups-build-day/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/claude-startups-build-day/hackathon/gallery/34

dream3d turns one sentence into a coherent, explorable 3D scene. You type a prompt (e.g. "a StarCraft standoff — a marine facing a zergling and a hydralisk"); an agent decomposes it into objects, generates each as a real GLB asset via Meshy.ai, lays them out, then LOOKS at the rendered scene and critiques it like a human — "that unit is floating", "these two overlap", "it's facing backwards" — and self-corrects over several passes before presenting the result in an interactive web viewer. The problem: building a multi-object 3D scene normally means manual modeling and tedious placement in a DCC tool. dream3d collapses that into one prompt by making Claude the spatial director — decompose → arrange → see → critique → fix — with Meshy as the asset source. The differentiator is the agentic vision-correction loop, not "we generate 3D".

Use cases: indie game prototyping, e-commerce product staging, real-estate virtual staging.

---

Markdown version of https://cerebralvalley.ai/e/claude-startups-build-day/hackathon/gallery/34. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt