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There are several ways to approach AI Productivity, so I wanted to compare experiences. I am particularly interested in automation and creative uses. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What trade-offs have you found...

For Robot Vision, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is testing. 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. Another...