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I am trying to improve my approach to Ollama and could use some practical advice. I am particularly interested in getting started and quality versus speed. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What trade-offs have you found...

The point about mistral and collaboration 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. That way you can improve the workflow without losing track of what caused the improvement.

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