# Verdict

- **Event:** [The Persistent Context Sprint Hackathon | Live at MongoDB .Local Build Fest](https://cerebralvalley.ai/e/persistent-context-sprint-hackathon)
- **When:** Thu, Aug 13 at 12:30 – 8:00 PM (PDT)
- **Where:** Pier 48, San Francisco, CA
- **Team:** [Alexandria Bohn](https://cerebralvalley.ai/u/Alexandria_B), [Patricio Castillo](https://cerebralvalley.ai/u/Patricio-tech), [Suhrud Kulkarni](https://cerebralvalley.ai/u/Suhrud)
- **GitHub:** https://github.com/Patcast/Mongo_db_ferry-
- **Demo video:** https://www.veed.io/view/6c1ca830-29a9-40fb-8c7e-6de3db9e3ed0?source=Dashboard&panel=share
- **Gallery:** https://cerebralvalley.ai/e/persistent-context-sprint-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/persistent-context-sprint-hackathon/hackathon/gallery/85

Verdict is an AI onboarding agent for Belgian accounting firms that replaces the two-week manual client-vetting process with two live scores — Confidence (how complete the file is) and Risk (how suspicious it looks) — treating an empty file as unknown, not safe. Every document lands as its own schema-validated record in MongoDB Atlas (document model + $jsonSchema), and each write instantly re-scores the client while keeping a full history of how the risk evolved. One aggregation pipeline does the reasoning: it cross-checks documents for contradictions and uses $graphLookup to walk ownership structures two hops out into hidden shared-account clusters. The payoff is memory — when a colleague files a single verdict into one collection, Voyage AI embeddings and hybrid Atlas Vector Search + Atlas Search (blended with $rankFusion) surface that judgment as precedent and re-score the client in seconds, with no retraining and no restart. Because state, documents, graph, and vectors all live in MongoDB, there's no bolted-on vector store or connector: one platform remembers every decision so the firm never re-derives it.

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Markdown version of https://cerebralvalley.ai/e/persistent-context-sprint-hackathon/hackathon/gallery/85. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt