Recent content by adam7646

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 security. Define what a good result looks like before changing tools or settings, then test one variable at a time so...

I think approach and customisation 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. It is usually easier to troubleshoot when each change is tested on its own.

I wanted to start a broader practical use cases thread around Grok. A useful angle is future improvements, but it also connects with security. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical examples...