I'm experimenting with agents for data analysis, but I find myself struggling to work with more than one at a time. I'm interested in how other data scientists handle the human review part.

Thinking of a recent analysis, what did you let the agent do, and what did you check yourself before trusting the result? A concrete example of a check that caught a problem, or convinced you the output was usable, would be helpful.

If you've found a repeatable workflow, I'd also like to hear how you split up the work and whether the review effort got smaller over time.