Your prompts are very long for how simple the models are, using a CAD package would be far more productive.

I can see AI being used to generate geometry, but not a text based one, it would have to be able to reason with 3d forms and do differential geometry.

You might be able to get somewhere by training an LLM to make models with a DSL for Open Cascade, or any other sufficiently powerful modelling kernel. Then you could train the AI to make query based commands, such as:

  // places a threaded hole at every corner of the top surface (maybe this is an enclosure)
  CUT hole(10mm,m3,threaded) LOCATIONS surfaces().parallel(Z).first().inset(10).outside_corners()

This has a better chance of being robust as the LLM would just have to remember common patterns, rather than manually placing holes in 3d space, which is much harder.