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I wanted to start a broader ideas worth trying thread around Fine-Tuning. A useful angle is productivity, but it also connects with limitations. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...

For AI Agencies, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is automation. 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...