Journal
Notes on governed agents
Essays on policy, guardrails, accountability, and the gap between a passing audit and a safe agent — written from the Nuroen governance practice.
Who's Accountable When an Autonomous Agent Makes a Mistake?
Learn how to assign accountability for autonomous AI agents before something goes wrong — and why "the AI did it" is never an answer.
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How to Set Guardrails for AI Agents Before They Reach Production
Learn how to set practical guardrails for AI agents — input, action, output, and rate limits — before they touch anything that matters.
The 5 Most Common Ways AI Agents Go Wrong in Production
Learn the five failure modes that trip up AI agents in production — and the specific control that prevents each one.
AI Governance vs. Compliance: Why Passing the Audit Doesn't Mean Your Agents Are Safe
Learn the real difference between AI governance and compliance — and why an agent can be fully compliant and still do serious damage.
AI Governance for Autonomous Agents: Keeping Control When Software Acts on Its Own
Learn how to govern autonomous AI agents with clear policies, guardrails, and audit trails — so agents stay useful without going off-script.