Recent content by reeceonsunset

A useful way to understand Local AI Agents is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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 tell what...

For AI Agents explained: a practical look at future improvements, I would separate the problem into setup, output quality and repeatability. agents and way fits into that because it can change the result quite a lot depending on the workflow. If you share the exact setup, it would be easier to...