Recent content by mia_river

When working with AI Research, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is automation. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...

For Key things to know about AI Level Generation and advanced workflows, I would separate the problem into setup, output quality and repeatability. level and generation fits into that because it can change the result quite a lot depending on the workflow. It is usually easier to troubleshoot...

For AI for X / Twitter, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is accessibility. 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...