Recent content by connorlab91

For Research Agents, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is getting started. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the...

One thing worth trying with Research Agents explained: a practical look at productivity 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. It also gives you a cleaner baseline if you...