Recent content by callum_sunset

A useful way to understand AI 3D Generation is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is useful tools. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

The point about privacy and considerations 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.

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