Recent content by rosie_builder

A practical understanding of MCP starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is setup choices. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

For A practical overview of AI Programming Help for testing, I would separate the problem into setup, output quality and repeatability. programming and help fits into that because it can change the result quite a lot depending on the workflow. It is usually easier to troubleshoot when each...

When working with AI Game Ideas, 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...