"Guardrails for agents that touch real systems"
Once an agent can act on production systems, the interesting question is no longer whether it will make a mistake — it will — but how far that mistake can travel. Scoped credentials, dry-run modes, action logs and spend ceilings are the four guardrails I refuse to ship without.
The first time an agent does something wrong in a real system, you discover what your architecture actually was. Not the diagram — the reality. Did the mistake touch one record or a thousand? Was it caught in minutes or discovered in a month-end report? Could you reconstruct what happened, or are you reading tea leaves in application logs? Every one of those answers was decided before the incident, by guardrails you either built or did not. Agents will make mistakes; that is a property of the technology, not a bug you can fix. The engineering question is how far a mistake can travel before something stops it.
Have an AI feature stuck between demo and production?
The gap — reliability, evals, cost control, the plumbing that keeps it running unattended — is exactly the work I do. If that sounds familiar, a short conversation is usually enough to point you the right way.
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