Recent content by loganzone45

For AI Comparisons, it helps to think in terms of inputs, constraints, verification, and iteration. 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 you can tell what actually improved the outcome...

The point about podcasting and productivity 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.