Enterprise Agents Have a Structure Problem - Ishita Daga, Tesla
Source
youtube.com
Author
AI Engineer
Date
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.
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.
videoBrains vs Hands: How to Run AI Agents Safely in Production — Viren Baraiya
videoWe Mapped 115 Microservices for Our Coding Agents — Kamalakannan Nandagopal, Postman
videoTurning Agent Memory Into Skills That Work — Will Lyon, Neo4j
videoWhy We Deleted Our MCP Server and Rebuilt It — Abhi Arya, Reducto
