Debrief extracts structured decisions with citations from team documents

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A developer built Debrief during OpenAI Build Week 2026 to help teams recover buried decisions, rationale, owners, and risks from documents like PDFs, DOCX files, and transcripts. Unlike generic document chatbots, Debrief structures extracted information into rows with source citations rather than generating unverified paragraph summaries. The tool uses a FastAPI backend with PostgreSQL and pgvector for embeddings, an OpenRouter-powered RAG chat system, and a React frontend deployed on Vercel. Users can ask follow-up questions about specific decisions and receive streamed answers with direct excerpts from source documents. The project is live on Vercel with a public demo account, and its code is available on GitHub.

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