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Courses/Games, 3D and simulations with AI/3D Assets with AI: Clean Up and Export

3D Assets with AI: Clean Up and Export

AI can create or describe assets very quickly. The quality leap comes from turning that output into lightweight, named, licensed pieces that are easy to import.

  • Design asset prompts with scale, function, and constraints.
  • Clean up meshes and materials before exporting.
  • Prepare reusable assets for Godot, Unity, or web 3D.
Terminal
Asset prompt:

Create the specification for a 3D asset for an educational game.
Asset: modular laboratory door.
Style: clean low-poly, understated science fiction.
Use: opens after collecting 3 objects.
Constraints:
- human scale
- single main mesh
- simple PBR materials
- no legible text
- exportable to GLB
- must work in Godot and Unity

Return:
1. visual description
2. approximate dimensions
3. mesh parts
4. materials
5. Blender cleanup checklist

Recommended Pipeline

  • Specify function, scale, style, camera, and constraints.
  • Generate or model a simple first version.
  • Clean up in Blender: names, origin, scale, normals, geometry, and materials.
  • Export GLB/glTF for Godot, Unity, or Three.js.
  • Verify in the engine: size, collision, lighting, performance, and warnings.
Terminal
Asset checklist before commit:
- name: lab_door_01.glb
- license noted in docs/decisiones.md
- under 5 MB for web prototype
- correct pivot
- scale checked next to a character
- simple collision created in engine
- max texture 1024 or 2048 if justified
- tested in an empty scene

Official Resources

Performance budget

Before filling a scene, define limits. An educational web prototype should load quickly even on normal laptops.

Terminal
asset_budget_web:
  max_glb_mb: 5
  max_texture_px: 2048
  target_fps: 60
  mobile_fallback: true
  lod_required_if:
    triangles: "> 20000"
  reject_if:
    - "4K textures without a reason"
    - "duplicated materials"
    - "scale not verified"
  • Blender glTF 2.0 import/export
  • Three.js GLTFLoader
  • Unity: importing objects from Blender
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Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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