AI can be useful when it’s treated as a tool, just like anything else in the hobby.
I actually wrote an article for Garden Trains Annual about using AI for modeling purposes, and my experience has been that it works best when it supports the skills you already have rather than replacing them. As a software developer by day, I’ve used different LLMs for code debugging, testing, and handling mundane tasks like fleshing out API endpoints or basic class structures. But you absolutely still have to proofread and sanity-check anything it produces — as the “photo” mockup in the original post demonstrates pretty clearly.
For modeling, I’ve found ChatGPT helpful for deep research, organizing notes and ideas, and even turning handwritten notes into something searchable so I can revisit concepts, measurements, and design decisions later.
One project I’m working on right now combines 3D printing and AI to design a modular building system for structures. The initial research is still the same as it has always been: looking at real-life examples, photos, plans, measurements, sketches, and historical references. From there, I used ChatGPT to help work through available space measurements and design cardboard mockups. That let me physically tweak the structure sizing before committing to anything more permanent.
Once the sizing was close, I used Codex to help refine panel dimensions for 3D-printable test pieces: checking clearances, interlocking panel methods, material thickness, and repeatability. Since I’m a code monkey, I used OpenSCAD for the 3D modeling side. That gave me more precise control than something like TinkerCAD and also made it easier to refine the design consistently in code.
But that’s the key: it’s all just tools.
It’s not taking away anyone’s job, creativity, or modeling skills. It just changes which skills get used and when. Could I have scratch-built something quicker? Probably. I’m already three-plus months into the project and still in the prototype phase. But it has given me a lot of insight into where AI can genuinely help, especially with planning, iteration, documentation, and working through design options before cutting or printing parts.
One thing I mention in the article — and something that shows up in examples like the first post — is that AI is very good at trying to make everything work. Sometimes too good. It can be overly encouraging, and it rarely stops you and says, “Maybe this is a bad idea.” If you truly believe you can fly, AI may help you design the wings instead of pulling you back from the cliff edge.
So the important part is to step back from the result, look at it with your own experience, and ask whether it actually makes sense.
Or, as Dr. Ian Malcolm put it: “Your scientists were so preoccupied with whether they could, they didn’t stop to think if they should.”