Enterprise Agents Have a Structure Problem - Ishita Daga, Tesla
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AI Engineer
Author
AI Engineer
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Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
RAG — Retrieval-augmented generation — fetching relevant documents first and pasting them into the model's context so it answers from your data instead of memory.
Why it matters
When an analytics AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → writes wrong SQL, the missing piece is usually a semantic layer, not a bigger model or more RAGRetrieval-augmented generation — fetching relevant documents first and pasting them into the model's context so it answers from your data instead of memory.Full definition →. This lays out the metadata infrastructure that lets agents reason over business concepts instead of column names.
