Use a repeatable sanity-check sequence for AI-generated numbers.
Metric check AI says monthly retention improved from 86% to 91%. The customer success team wants to use that in an executive update. Retention can look better or worse depending on denominator, exclusions, and time window. Sanity-check sequence Metric -> denominator -> unit -> recompute Treat the generated number as a claim. Then make the claim pass through a checkable path. Shortcut Use the generated percentage. A number you can defend when challenged. The model can help explain a metric, but reproducibility comes from explicit inputs and deterministic recomputation. 01 Metric 02 Scope 03 Recompute Step 1 The model says…
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