What's one AI-generated insight you would never act on without checking the data first?

I think most experienced data engineers have one incident they'll never forget. Maybe a schema change broke downstream dashboards. Maybe a pipeline silently stopped updating. Maybe a small deployment caused hours of recovery work. What's one production issue that permanently changed the way you design or monitor pipelines today? submitted by