Recent content by masonnova71

I am trying to improve my approach to Large Language Models and could use some practical advice. I am particularly interested in security and performance. I would like to compare approaches that people have actually used rather than just theoretical suggestions. Which approach would you...

I think claude and way is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. That way you can improve the workflow without losing track of what caused the improvement.

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