Recent content by jesszone46

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

The point about step and security 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 should make it easier to tell whether the change is actually helping.

This tutorial shows a simple repeatable way to work with General AI Robotics while focusing on prompt design. 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...