Liminal

BTW My teammate Shayaun (Sean) Nejad (kuzushisec@gmail.com) was was waitlisted and got into the hack in-person today. Liminal is AI spend governance for founders and operators — the layer that keeps human judgment in command while AI agents accelerate execution. AI-native teams get handed frontier-model budgets and asked to prove ROI, but can't answer two questions: is this spend actually working, and can we govern it without surveilling our people? Liminal answers both. Eight bounded agents read a team's Opus 4.8 usage against its OKRs and disagree about what's waste; an adversarial reviewer then cross-checks every claim against the evidence and drops the ones that don't survive — it caught its own side's $162 "calendar" charge (PR-103 proved it was real product work), cutting a naive $446 estimate to a verified $284. Every finding is hash-linked to its source rows and anchored with a SHA-256 receipt; when an operator ratifies a policy, the decision enters an append-only provenance chain that corrections never overwrite. Governance without surveillance by construction — the subject is the agent fleet and the spend, never the person. We dogfooded it on our own $8,228 of Claude spend from building this.

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