Recent content by jay_creates

A practical understanding of General AI Image Generation starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is prompt design. Define what a good result looks like before changing tools or settings, then test one variable at...

For Understanding Coding Help: common mistakes and reliability, I would separate the problem into setup, output quality and repeatability. coding and help fits into that because it can change the result quite a lot depending on the workflow. That should make it easier to tell whether the change...

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