AI database agents often struggle with simple business questions because they lack crucial metric context beyond just schema information. To ensure accurate answers, especially for important metrics like revenue, business definitions must be embedded into the infrastructure rather than relying solely on prompts. This involves creating executable views that pre-define metrics with all necessary context, such as time zones, currency assumptions, and exclusions, ensuring the AI agent provides reliable and understandable results. AI
IMPACT Ensures AI agents provide accurate business insights by embedding metric definitions into infrastructure, rather than relying on prompts.
RANK_REASON The item discusses the limitations and best practices for AI database agents, offering an opinion on how to improve their accuracy for business reporting.
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