Recent content by kai_runner

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

For Computer-Use Agents knowledge guide: improving automation, I would separate the problem into setup, output quality and repeatability. computer-use and agents fits into that because it can change the result quite a lot depending on the workflow. That way you can improve the workflow without...

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