7 diagnostic queries to run before any AI-generated DAX goes live.

AI writes plausible DAX. These queries tell you if it's actually correct - before it lands in a report and causes silent damage.

What's inside

Q1

Grain mismatch

COUNTROWS vs DISTINCTCOUNT. The most common AI error - inflated numbers that look correct.

FAULTY: COUNTROWS('SalesLine') FIXED: DISTINCTCOUNT([OrderID])
Q2

Filter context

ALL vs REMOVEFILTERS. The query that tells you if your % will ever sum to 100.

FAULTY: ALL('Product') FIXED: REMOVEFILTERS([Name])
Q3

Context transition inside iterators

Why every row returns the same number - and how CALCULATE fixes it.

Most confusing: CALCULATE( COUNTROWS )
Q4-7

Relationships, BLANKs, time intelligence, non-additive totals

Each with a diagnostic query and corrected DAX. Run them once - catch the class of error for good.

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