AI platforms have a unique failure mode: they can bankrupt you.

A runaway inference loop. A cascading retry storm. An agent that decides to call GPT-4 in a tight loop. Traditional SRE practices catch crashes. They don't catch slow financial death.

The Extinction Protocol

I built a daemon called the Extinction Protocol Agent (EPA) that monitors:

• Token burn rate — catch runaway inference before the bill spikes
• Data integrity — detect corruption before it propagates through the knowledge graph
• Cascade failures — one agent crash shouldn't take down the swarm
• Turn ledger health — track conversation state integrity

Phase Escalation

The EPA doesn't just alert. It acts.

NORMAL -> QUARANTINE -> PRESERVATION -> RECOVERY -> LIFEBOAT

NORMAL: Everything's fine. Passive monitoring.

QUARANTINE: Anomaly detected. Isolate the affected subsystem. Block new requests to it. Keep everything else running.

PRESERVATION: Multiple anomalies. Start persisting critical state to durable storage. Reduce non-essential operations.

RECOVERY: System is degraded. Attempt automatic recovery — restart failed services, replay lost messages, rebuild corrupted state.

LIFEBOAT: Recovery failed. Save everything salvageable, shut down gracefully, and prepare for clean restart.

Why Not Just Use PagerDuty?

PagerDuty tells a human there's a problem. The EPA fixes the problem — or at least contains the blast radius — before a human even wakes up.

The key insight: AI infrastructure fails gradually, not suddenly. By the time a traditional alerting system pages someone, the damage is already done. The EPA intervenes at the first sign of drift.

Try It

The Sovereign Hive is open source. The EPA ships as one of 11 power-up modules in the Intelligence Bundle.

Repo is private during development — DM me for early access.