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When working with AI Productivity, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is evaluation. Define what a good result looks like before changing tools or settings, then test one variable at a time so...

On Understanding AI APIs: testing and performance, the part about apis and way stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. It also gives you a cleaner baseline if you want to compare tools...