Recent content by milliewander

For AI Agents, it helps to think in terms of inputs, constraints, verification, and iteration. 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 can tell what actually improved the outcome...

I think learning and community is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. The original point — "I wanted to start a broader community experiences thread around...

A useful way to understand AI Generated Websites is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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...