# CaseBrief

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Chandi Tome](https://cerebralvalley.ai/u/pianodiplomacy)
- **GitHub:** https://github.com/pianodiplomacy/casebrief
- **Demo video:** https://youtu.be/opXvnhJHPDc
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1654

A model call is not a decision. An AI system can return a response without producing the artifact a workflow requires, or produce an artifact that fails the contract another system depends on. When the workflow is consequential, those distinctions matter before a human considers release.

CaseBrief is an experimental, Apache 2.0-licensed project being developed as evidence-control infrastructure between AI output and consequential human decisions. Its Five-Gate Architecture separates execution, artifact, contract, evidence and human authority. A human may stop or review at any gate.

The implementation includes bounded model adapters, artifact handling, a frozen synthetic fixture, deterministic contract validation, offline safety tests and a read-only Reviewer View. Workflow-specific evidence assessment is human-led or proposed; CaseBrief does not autonomously authorise a decision.

Three bounded experiments show why the gates are separate. Run 001 received a genuine Meta Muse Spark Open response but no required final answer artifact. Run 002 produced visible content that the unchanged validator rejected as delivered because it began with a Markdown fence. Run 003 stopped at an authentication-related HTTP 401 before a model result; it did not test structured-output performance. Each attempt preserved its outcome without retry or repair.

The public repository includes the architecture, synthetic fixture, public-safe receipts, offline judge quickstart and contribution guidance. The 67 reported passing tests are offline engineering checks, not model-quality or production-readiness results. The build contract is disclosed as prior work; event-period implementation is identified separately.

Evidence before confidence. Human authority stays human.

## More from Meta Global AI Developer Hackathon

- [ClaimBack My Money](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1651)
- [MuseLaunch](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1652)
- [Whybox](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1653)
- [MNL Tech Solution](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1655)
- [Caliper](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1656)
- [Harsh](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1657)

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