Free Lesson
Trust Your AI Analytics: Know When the Number Is Right
Part of Build Your AI Product Analyst
60 min
Oct 14, 2026 1:00 PM
What you'll learn
Spot the confident but wrong answer
Learn the tells of a plausible number that does not hold up, so a fluent AI reply does not fool you.
Run the checks that need no answer key
Use order-of-magnitude, spot-check, and cross-total tests that catch errors even when you cannot verify the exact figure
Match the rigor to the stakes
Scale your checking to the decision: a quick gut-check for a Slack reply, a full audit before a board number.
Decide when the number is good enough to ship
Set a clear bar for "trust it and move" versus "dig deeper," so you stop second-guessing every result.
Why this topic matters
AI output looks the same whether it is right or wrong. It is fluent and confident either way, and that is the trap. Getting an answer stopped being the hard part. The hard part is knowing whether to trust it before it lands in a deck or a decision. This session is the quick checks: spot the confident wrong result, run tests that need no answer key, and know when a number is good enough to act on.
