# Taskforce 141

- **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:** [Soham Kane](https://cerebralvalley.ai/u/Versannon)
- **GitHub:** https://github.com/Versannon/Forge-Artisan
- **Demo video:** https://www.youtube.com/watch?v=57MGyzb0PUs
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3459

ForgeArtisan AI – Autonomous 3D Technical Artist & Game Engine Copilot

Current generative 3D AI tools typically produce single, uneditable blob meshes with distorted geometry, excessive polygon counts, and no modular hierarchy. These limitations make AI-generated assets difficult to integrate into production game development and interactive 3D environments.

ForgeArtisan AI addresses this challenge by bridging generative AI directly into active game engines, including Unity Editor, Blender, and Unreal Engine, through the Model Context Protocol (MCP).

Instead of generating unstructured geometry, ForgeArtisan AI operates as an autonomous 3D technical artist capable of producing structured, modular, and production-oriented assets.

CORE CAPABILITIES

1. Autonomous Blueprint Research
Investigates reference blueprints, structural designs, and real-world proportions before beginning asset generation.

2. Precision Procedural Modeling
Synthesizes clean, parametric, and modular geometry with realistic bevels, chamfers, and physically based rendering (PBR) materials.

3. Hierarchical Asset Construction
Organizes generated geometry into logical components, enabling easier editing, customization, and integration into game engines.

4. Closed-Loop Visual Critique
Captures high-resolution, multi-angle camera snapshots directly from the active engine and evaluates silhouettes, geometry, and material composition.

5. Self-Refining Modeling
Automatically executes corrective modeling passes based on visual feedback, iteratively improving asset quality until predefined technical and artistic standards are achieved.

PROJECT OBJECTIVE

ForgeArtisan AI aims to transform AI-generated 3D assets from experimental, uneditable outputs into structured, production-ready resources for professional game development.

## More from Meta Global AI Developer Hackathon

- [Amos Kanyanta](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3456)
- [Nearhand](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3457)
- [Sentinel AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3458)
- [Mihiretu (Didymos) Likassa](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3460)
- [TradePulse AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3461)
- [Zero Echelon - Uplink](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3462)

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