Recent content by tom9325

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

The point about edge and devices 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. It also gives you a cleaner baseline if you want to compare tools or settings later.

A useful way to understand Mistral AI is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is best workflow. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what...