Recent content by createsamber

When working with AI Level Generation, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is useful tools. Define what a good result looks like before changing tools or settings, then test one variable at a...

I think general and devices 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. That should make it easier to tell whether the change is actually helping.

For Computer Vision, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is cost control. 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...