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

I wanted to start a broader workflow comparison thread around Claude. A useful angle is customisation, but it also connects with setup choices. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical examples...