AI 3D tools need product evals, not benchmark faith (opens in new tab)

If you are building AI-generated 3D tooling, treat public benchmarks as lead signals, not product truth. A model can score well on an OpenSCAD-style benchmark and still be dangerous inside your app, because your product is not grading text against a reference file. It is asking users to trust generated geometry, measurements, layout intent, and downstream editability. That changes the bar completely. The real question is not "which model topped the benchmark?" It is "what errors can this mode...