Recent content by metro_ruby

I wanted to start a broader creative experiments thread around Figure AI. A useful angle is customisation, but it also connects with evaluation. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...

For Exploring No-Code AI Automation: future possibilities, I would separate the problem into setup, output quality and repeatability. no-code and automation fits into that because it can change the result quite a lot depending on the workflow. It is usually easier to troubleshoot when each...

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