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For Make, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is future improvements. 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 outcome...

I think characters and cost is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. The original point — "For AI Characters, it helps to think in terms of inputs, constraints...

I have a question about DeepSeek that may be useful for other people working with it too. I am particularly interested in creative uses and customisation. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What trade-offs have you found...