Recent content by jamieondriver

For Browser Agents, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is limitations. 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...

For Key things to know about Local LLMs and accessibility, I would separate the problem into setup, output quality and repeatability. local and llms fits into that because it can change the result quite a lot depending on the workflow. It also gives you a cleaner baseline if you want to compare...

A useful way to understand AI Comparisons is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is beginner tips. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...