Recent content by reece2137

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

On Understanding Learning AI: setup choices and integration, the part about learning and setup stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. If you share the exact setup, it would be easier...

A useful way to understand AI Programming Help is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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 you can...