Recent content by matt_2nfb

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

The point about npcs and accessibility 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. The original point — "When working with AI NPCs, the biggest gains usually come from treating it as a...

When working with AI for LinkedIn, 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 you...