Recent content by codesanna

A useful way to understand Claude is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is getting started. 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 Level Generation, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is automation. 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...