I’ve spent time on both sides of AI. Hacking together small local demos to test the latest models. And helping enterprises figure out how to put agents into production. One lesson I learnt is that supervision is what keeps things from breaking.

When you train a model, you expect failures. Runs can stall. Loss curves drift. A mislabeled field can...