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

The point about make and evaluation 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. It also gives you a cleaner baseline if you want to compare tools or settings later.

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