Recent content by craftfinn

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

The point about sound and effects 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 also gives you a cleaner baseline if you want to compare tools or settings later.