Recent content by gardenlaura

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

One thing worth trying with Research Agents explained: a practical look at reliability is a controlled comparison around research and agents. Use the same input for each test and note what changes in the output rather than judging from a single run. The original point — "For Research Agents, it...

A practical understanding of AI Home Devices starts with knowing what the system does well, where it is unreliable, and how to validate the result. 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 so you...