Recent content by archiewand

I wanted to start a broader creative experiments thread around AI APIs. A useful angle is future improvements, but it also connects with security. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...

I think large and language 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. It is usually easier to troubleshoot when each change is tested on its own.

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