Recent content by archiechief

This tutorial shows a simple repeatable way to work with AI Troubleshooting while focusing on setup choices. Step 1: Define the result you want. Write down the output format, quality requirements, and any limits before you start. Step 2: Prepare a small representative example. Test with...

I think prompt and engineering is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. It is usually easier to troubleshoot when each change is tested on its own.

A practical understanding of Research Agents starts with knowing what the system does well, where it is unreliable, and how to validate the result. 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...