Recent content by alex1069

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

For Machine Learning, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is collaboration. 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...