Most discussions about AI + CAD focus on the wrong layer. Developers often compare: model performance geometry generation capability plugins and toolchains But in real engineering workflows, the bottleneck is rarely generation . It’s this: Can the output actually be executed? Is it consistent? Is it manufacturable? The Idea Instead of asking GPT to “generate a model”, I constrained it to do only one thing: Convert a single natural language input into a runnable CAD build script Example Input outer diameter 120, inner hole 50, thickness 15, 6 M8 holes, PCD 90 Enter fullscreen mode Exit fullscreen mode Output (FreeCAD Python) import FreeCAD , Part , math doc = FreeCAD . newDocument () OD = 120 ; ID = 50 ; T = 15 ; HC = 6 ; HD = 8 ; PCD = 90 outer = Part . makeCylinder ( OD / 2 , T ) inner = Part . makeCylinder ( ID / 2 , T ) body = outer . cut ( inner ) r = PCD / 2 holes = [] for i in range ( HC ): a = 2 * math . pi * i / HC x , y = r * math . cos ( a ), r * math . sin ( a ) h = Part .…