Recent content by mollycodes

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

I think personal and agents 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. That should make it easier to tell whether the change is actually helping.

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 productivity. Define what a good result looks like before changing tools or settings, then test one variable at a time...