Human-in-the-Loop Query Review
Human-in-the-loop query review is a workflow where a person can inspect, approve, or correct AI-generated SQL—keeping human judgment in the path between the AI's output and decisions made on it.
In Depth
Full automation and blind trust are not the same thing. Human-in-the-loop review means the AI does the work—writing the query in seconds—while a human retains the ability to check it: see the generated SQL, confirm it filters the right statuses and joins the right tables, and correct course when the interpretation is off. In practice this is graduated: routine questions run automatically, while high-stakes numbers (anything heading into a board deck or a customer email) get a human glance at the query first. The mechanism that makes review possible is transparency—a tool that hides its SQL makes verification impossible and asks for exactly the blind trust it has not earned.
How AI for Database Helps
AI for Database shows the generated SQL behind every answer, so anyone—or their technical teammate—can review exactly what ran before relying on the number.
Related Terms
Grounded Answers
Grounded answers are AI responses that are backed by verifiable source data—in database tools, answers computed by running a real query against your actual database rather than generated from the model's memory.
SQL Hallucination
SQL hallucination is when an AI model generates a query that looks correct but references tables or columns that do not exist, or encodes logic that does not match the question asked.
Query Validation
Query validation is the process of checking an AI-generated SQL query for correctness and safety—verifying it references real tables and columns, parses cleanly, and stays within allowed operations—before it runs.
Database Copilot
A database copilot is an AI assistant that works alongside you on database tasks—writing and explaining queries, suggesting analyses, and turning questions into results—while you stay in control.
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