I’ve been working on a project called Paramancer: think Claude Code, but for iterative 3D modeling.
Instead of opening Blender, Fusion, or OnShape and building a bracket or pegboard mount from scratch, the idea is to describe what you want in plain language and have an LLM generate a parametric 3D model you can iterate on.
You can then refine the design conversationally: adjust dimensions, add mounting holes, tweak tolerances, and regenerate until it’s right.
I’ve had some early success producing useful and interesting models, but the real challenge is scale. To get there, I’m building a feedback loop and dataset that captures how people describe parts, how models fail, and how they get corrected—so the system can steadily improve.
So far I’ve run ~100 different iterations by hand and built internal tooling to help refine and fine-tune the model, but I’d love to take this further with real users and real use cases.
I’m very early, but excited about where this could go. Would love feedback, criticism, and ideas from folks who design parts, print them, or just hate CAD UIs as much as I do.