Five Checks to Run Before Trusting AI-Generated SQL Queries

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A practical SQL tutorial aimed at data analysts and developers outlines five checks to perform before relying on AI-generated queries. The guide flags common failure points such as incorrect JOINs that produce duplicate rows. It also highlights missing refunds and other business rules that a query may overlook. Further checks cover incorrect date filters, along with aggregation and NULL-handling errors. The article concludes by recommending validating results against trusted totals.

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