Recent content by thinksella

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

I think meta and practical 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. The original point — "A practical understanding of Meta AI starts with knowing what the system...

I have a question about FLUX that may be useful for other people working with it too. I am particularly interested in reliability and customisation. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What would you tell someone trying...