Recent content by claraonfan

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

I think step and troubleshooting 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. If you share the exact setup, it would be easier to narrow down which part matters most.

For AI Agents, it helps to think in terms of inputs, constraints, verification, and iteration. 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 actually improved the outcome. Another...