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Every scene you generate is saved to your Gizmo library and serves as a single source of truth. From the same scene, you can export to USD, USDZ, MJCF, SDF, or GLB and run the same simulation across different backends — no re-authoring, no separate per-simulator copies to maintain.

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Generation Pipeline

When you submit a prompt, the AI agent runs through these stages:
  1. Asset Planning — identifies what objects are needed, plans their structure
  2. Concept Images — generates reference visuals to guide geometry creation
  3. Asset Generation — builds each asset in parallel (geometry, joints, materials, physics)
  4. Floorplan — creates the room layout and spatial constraints
  5. Constraint Solving — places assets using deterministic spatial reasoning (no overlap, clearance rules)
  6. Structure — builds walls, floors, ceilings, doors, and windows
  7. Lighting — adds appropriate light sources
  8. Validation — runs physics checks, connectivity verification, and robotics-readiness tests

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Programmatic asset generation

The Asset API accepts a description and optional reference images. Track the returned job, then download the generated asset in MJCF, USD, USDZ, or SDF format.

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Reference Images

You can attach one or more reference images alongside your text prompt. The agent uses them to:
  • Count and identify components
  • Match proportions and spatial arrangement
  • Guide material and color choices
  • Verify output against the reference during review stages