Exploring AI Level Generation: setup showcase

[milliepixe]

I wanted to start a broader setup showcase thread around AI Level Generation.

A useful angle is future improvements, but it also connects with privacy considerations. Different tools and workflows can produce very different results even when the goal is similar.

It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI Level Generation is genuinely useful and where it still needs improvement.

 

[laura_1um3]

One thing worth trying with Exploring AI Level Generation: setup showcase is a controlled comparison around level and generation. Use the same input for each test and note what changes in the output rather than judging from a single run. It is usually easier to troubleshoot when each change is tested on its own.

 

[wild_theo]

The point about level and generation 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. That way you can improve the workflow without losing track of what caused the improvement.