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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