Why an AI agent's revenue query was $3.5 million wrong, and how AWS fixed it with dbt Semantic Layer
Summary
AWS shows how a plausible-looking AI agent revenue query came out $3.5 million wrong, and how grounding the agent in the dbt Semantic Layer prevents that kind of error. The post argues that supplying business context, such as governed metric definitions, is what keeps AI-generated numbers trustworthy.
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