Guardrails: A Risk Ladder for AI and Humans

Five levels of risk, verbatim approvals, hard rails and a launcher that refuses duplicates: how a human stays in charge of an AI team.

AI Projects › Guardrails

AI first, human in charge. The guardrails are what made it safe to walk away.

The risk ladder

LevelExamplesWho may act
0 Read-onlyStatus, logs, database queries, metadata listing, header probesAI, anytime
1 Reversible toolingMonitoring pages, collector restarts, documentsAI under a written grant, logged in a changelog
2 Runtime-only changesRead-only network mounts, memory caps that vanish on rebootAI or human, by explicit scoped grant
3 Data-touchingRenames, exports, copiesA human pastes an AI-prepared, gated command that ends in GREEN or RED
4 DestructiveWipe, delete, destroyHuman only, gated on identity checks (pool gone, serial matches, nothing mounted), and only with verified copies

The operating rules

The day the rules were born

On Oct 24 an agent started five scanners without approval. The brief was rewritten that night and “never start a long job without approval” became law. Since then the guardrails have caught both AI and human mistakes, including a duplicate launch command on Nov 9.

Proof it worked

EventWhat the guardrails did
Walk-away morning30 minutes of human decisions produced 4.5 hours of safe autonomous work.
Duplicate launchThe run launcher refused a second job with the same ID.
Unapproved destructive actionsZero. Nothing was deleted without two proven copies and written approval.
360 degree defectA guard now copies any 360 source as-is instead of encoding it, in all eight compressor scripts.

Reusable artifacts

Statuses are as of Nov 10 and follow the project’s own labels.

← The copy map  |  Field lessons →

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