Recent content by mayaai43

A practical understanding of Research Agents starts with knowing what the system does well, where it is unreliable, and how to validate the result. 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...

The point about coding and assistants is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. That should make it easier to tell whether the change is actually helping.