Recent content by leochill

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

A practical understanding of No-Code AI Automation starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is setup choices. Define what a good result looks like before changing tools or settings, then test one variable at a time...