When to trust AI (and when to think for yourself)

The middle ground is where the good decisions live

It’s tempting to take a strong position on AI.

Either you trust it completely and let it run your workflow, or you don’t trust it at all and double-check everything by hand.

Neither extreme is useful. The first one quietly ships errors into the world. The second one cancels out almost all of the time savings that made you adopt AI in the first place.

The skill worth learning is judgement — knowing when to let AI lead, when to verify, and when to ignore it completely and rely on your own thinking.

That skill takes a bit of practice. But the underlying principles are simple.

Why AI sometimes gets things confidently wrong

To trust AI well, you need to understand how it can go wrong.

Modern AI doesn’t look up answers in a database. It predicts...