Recent content by ameliametr

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

I think general and video 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 way you can improve the workflow without losing track of what caused the improvement.

For AI Freelancing, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is prompt design. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...