DIVING THROUGH DATA AT OPENAI: HOW A DATA AGENT NAVIGATES 70,000 DATASETS (27 MINUTE VIDEO)

Summary from the TLDR Data newsletter

OpenAI built an internal AI data agent that answers complex data questions by combining warehouse queries with rich context from schemas, lineage, code, company knowledge, memory, and live sources, while showing its assumptions, SQL, citations, and confidence. The big lesson is that reliable data agents depend less on raw model intelligence and more on giving them the right context, continuously learning from corrections, and testing them with strong evals.