Recent content by ivytech

When working with AI for X / Twitter, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is privacy considerations. Define what a good result looks like before changing tools or settings, then test one variable...

For AI for Teachers: setup showcase ideas and experiences, I would separate the problem into setup, output quality and repeatability. teachers and setup fits into that because it can change the result quite a lot depending on the workflow. It also gives you a cleaner baseline if you want to...

For Kotlin, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is future improvements. 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...