How Agents Searched 3 Million Epstein Documents | Dylan Freedman
New York Times AI Projects Editor Dylan Freedman breaks down how investigative journalists built an agentic search engine over 3 million pages of released documents to break dozen-plus stories on the Jeffrey Epstein files. He discusses his hands-on reporting with LLM transcripts, security risks around AI agent swarms, and how newsrooms balance human expertise with generative tools. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love.
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