Recent content by ethancodes

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

On Understanding Making Money with AI: testing and performance, the part about making and money 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 — "When working with Making...

For Datasets, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is cost control. 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. Another...