Recent content by ryan_quest

A practical understanding of Ask an AI Question 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 a time so...

A useful way to look at How do you improve useful tools when working with Perplexity? is to focus first on useful and tools. That tends to make the trade-offs easier to compare. If you share the exact setup, it would be easier to narrow down which part matters most.

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