Recent content by oscarpanda

For MCP, it helps to think in terms of inputs, constraints, verification, and iteration. 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 actually improved the outcome...

On Exploring AI Agents: setup showcase, the part about agents and setup stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. The original point — "I wanted to start a broader setup showcase thread...

A useful way to understand AI Tutorials is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is quality versus speed. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...