Recent content by archie9618

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

For How do you improve creative uses when working with AI Podcasting?, I would separate the problem into setup, output quality and repeatability. creative and uses fits into that because it can change the result quite a lot depending on the workflow. That should make it easier to tell whether...

For AI News, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is deployment. 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. Another...