Recent content by archieonspace

A useful way to understand MCP is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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...

When working with ChatGPT Image Generation, 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...