# liminal

- **Event:** [AI Engineer World's Fair Hackathon 2026](https://cerebralvalley.ai/e/aiewf-hackathon-2026)
- **When:** Jun 27 at 9:00 AM – Jun 28 at 5:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Shruti](https://cerebralvalley.ai/u/LiminalShruti), [Sean Nejad](https://cerebralvalley.ai/u/kuzushi_security)
- **GitHub:** https://github.com/liminalshruti/liminal-engine
- **Demo video:** https://drive.google.com/file/d/1bhRbXRLWctrXax0WDAVuKR2KVdzkxxOM/view?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/aiewf-hackathon-2026/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/aiewf-hackathon-2026/hackathon/gallery/66

Companies are starting to manage teams of AI agents like teams of people — and can't answer the question that follows: is all that AI work actually moving the goals we resourced it for? Liminal is the governance layer for agentic work that gets smarter every time a human corrects it. It catches when agents drift from the goal (a $1.2M deal silently dropping a required EU-data-residency clause), enforces the human correction as real operating state — flipping status, blocking the bad downstream action, sealing a tamper-evident audit — and turns that correction into an eval the next agent pass is graded against: Fail → Pass. Built on a real governance loop, live Gemini inference, LiveKit, and DigitalOcean. The Self-Improvement Stack for agentic work.

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Markdown version of https://cerebralvalley.ai/e/aiewf-hackathon-2026/hackathon/gallery/66. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt