Recent content by lucas1377

I wanted to start a broader mistakes and lessons thread around AI Projects. A useful angle is data quality, but it also connects with security. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical examples...

For AI for Teachers, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is integration. 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...