Recent content by jess_12md

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

The point about step and getting 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. That way you can improve the workflow without losing track of what caused the improvement.

This tutorial shows a simple repeatable way to work with AI Troubleshooting while focusing on limitations. 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...