Recent content by nathanforest

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

A useful way to look at AI for X / Twitter explained: a practical look at cost control is to focus first on twitter and practical. That tends to make the trade-offs easier to compare. It also gives you a cleaner baseline if you want to compare tools or settings later.

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