AI Avatars discussion: mistakes and lessons

spacejames

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Sep 5, 2026
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I wanted to start a broader mistakes and lessons thread around AI Avatars.

A useful angle is privacy considerations, but it also connects with learning curve. Different tools and workflows can produce very different results even when the goal is similar.

It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI Avatars is genuinely useful and where it still needs improvement.
 
One thing worth trying with AI Avatars discussion: mistakes and lessons is a controlled comparison around avatars and lessons. Use the same input for each test and note what changes in the output rather than judging from a single run. That should make it easier to tell whether the change is actually helping.