# Recoup

- **Event:** [The Harness Engineering & Model Wrangling #SFTechWeek Hackathon](https://cerebralvalley.ai/e/mongodb-sftw-hackathon)
- **When:** Sun, Oct 11 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Nikhil Kapu](https://cerebralvalley.ai/u/nikhilk)
- **GitHub:** https://github.com/nikhil-kapu/recoup
- **Demo video:** https://youtu.be/aSDD7V9ym4U?si=FgCfTSoPvDTFy7wa
- **Gallery:** https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/69

Recoup is the SLA-credit claims agent that remembers every win and loss in MongoDB, and whose next claim is better because of its last one. It reads GitHub's and Vercel's live public incident history, decides which incidents qualify for service credits under each vendor's published SLA, and has a deterministic checker do the uptime math, credit tier and filing deadline. The harness is the point: every decision, retrieved precedent, vendor response and reasoning step is stored in MongoDB Atlas (cases with embeddings, versioned playbooks, replayable traces); the agent retrieves similar past cases with Atlas Vector Search before deciding; and when a claim is rejected, a critic rewrites the playbook, with some rules becoming deterministic guardrails. Run the same incidents again and the agent claims more of what the vendor accepts and less of what it rejects, and the UI shows the lesson it wrote and the precedent it cited. Honesty notes: vendor outcomes are produced by a deterministic reviewer applying the real SLA text (real vendors may differ); spend figures are example data; all code was written today, Oct 11, 2026.

## More from The Harness Engineering & Model Wrangling #SFTechWeek Hackathon

- [Helixa](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/66)
- [AgentDesk](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/67)
- [lane - gambling on your friends success](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/68)
- [Agent PhD](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/70)
- [hydra](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/71)
- [Forge Extended](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/72)

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Markdown version of https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/69. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt