Every text-to-CAD demo looks the same on screen. The difference shows up when you open the export in your own CAD tool and try to change something, and it comes down to whether the file holds real surfaces or just triangles.
General-purpose AI chat assistants are good at explaining parts and writing CAD code. A STEP file needs something more: a geometry kernel that builds a closed B-rep solid. Here is what each route gives you, how to check the result, and when a text-to-CAD tool is the shorter path.
Any mesh can be saved as a STEP file. That does not make it CAD. What mesh-to-STEP conversion does in tools like Fusion and FreeCAD, when it is good enough, and when building the part as a solid is the faster path.
The hype is still outpacing the reality, but somewhere between the two is a genuinely useful tool. Here's an honest look at what's actually working, what still bites engineers, and how to get more out of AI-assisted CAD without deluding yourself.
Most product ideas die not because they're bad, but because they never reach a form other people can react to. Getting from a thought to a shareable 3D model shouldn't take days. Here's the workflow that actually works.
File-sharing over email. Version names like chassis_v3_FINAL_v2. A review meeting where half the team can't open the file. Most CAD teams know this pain intimately. And most of it is completely avoidable.
The engineers most threatened by AI aren't the ones who use it badly. They're the ones who refuse to engage with it at all. Here's an honest case for why CAD engineers should be paying close attention.
Somewhere between 'AI will design everything' and 'nothing will change' is the actual answer. Let's work through what AI does well in 3D CAD today, where the limits are real, and what it means for the people doing this work.
What we're building, who we're building it for, and why the gap between idea and 3D model has been too expensive for too long. A direct introduction from the people making QuantCAD.