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For AI Level Generation, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is learning curve. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the...

The point about image and collaboration is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. That way you can improve the workflow without losing track of what caused the improvement.

A useful way to understand AI Game Music & Voices is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is collaboration. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...