AdamCAD review: fast parametric output, some catches
AdamCAD generates parametric 3D models fast and lets you tweak dimensions with sliders. The catch is it's limited to simpler geometry and the output needs cleanup.
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AdamCAD generates parametric 3D models fast and lets you tweak dimensions with sliders. The catch is it's limited to simpler geometry and the output needs cleanup.
A practical look at text-to-CAD workflows from prompt to export, covering the tools that exist, the ones that work, and the uncomfortable amount of manual cleanup still involved.
Text-to-CAD turns a typed description into actual editable CAD geometry. It's not text-to-3D, it's not generative design, and it's not magic. Here's what it really is.
Traditional CAD makes you build every feature by hand but gives you total control. Text-to-CAD is faster on the first draft but gives you geometry you might not trust. Here's where each one wins.
One gives you editable engineering geometry. The other gives you a bag of triangles. The distinction matters more than most people realize.
Text-to-CAD means typing a description and getting actual editable CAD geometry back. Not a render. Not a mesh. Real geometry you can fillet, dimension, and send to a machine shop.
I've been testing text-to-CAD tools for months now. Some of them generate real B-Rep geometry you can actually edit. Most of them don't. Here's what works, what's hype, and what matters if you do real engineering work.
The short version: an AI reads your prompt and tries to output real CAD geometry instead of a mesh blob. The longer version involves transformers, B-Rep kernels, and a lot of duct tape.
Sort of. AI can generate simple CAD geometry from text prompts, and the results are getting less terrible. But 'design' is a strong word for what it's actually doing.
I took AI-generated CAD output and tried to actually make parts from it. CNC, 3D printing, injection molding. Here's what happened, what broke, and where the gap between demo and production still lives.