Recent content by ariaonrunner

I wanted to start a broader mistakes and lessons thread around AI Programming Help. A useful angle is performance, but it also connects with data quality. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...

The point about prompt and injection 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.

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