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The feedback loop is too long, it's not like a software development harness that can direct the model to write some tests for complex behavior, and iterate until they pass.

There a lots of things that can be subtly wrong, and it gets much worse as your signal frequency increases, or you have to deal with high power/radio/etc. The model (agent) has no way to validate its work.

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It is just that the current tools out there seem to work for small or hobbyist boards currently. We couldn't apply them on our complex board designs. But maybe you had a different experience? I am curious on what kind of ways big companies are incorporating AI in their PCB design workflows currently.
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