Recent content by jamieonforest

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

The point about improve and integration 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. It is usually easier to troubleshoot when each change is tested on its own.

For Introductions, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is prompt design. 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...