Recent content by avasky30

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

I wanted to start a broader ideas worth trying thread around AI Level Generation. A useful angle is evaluation, but it also connects with useful tools. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...