Keep your AI agents from going off the rails

How agents go off the rails

Left unchecked, a group of agents can drift off course together, confidently. A hallucination from one becomes a premise for the next. A stale fact gets treated as current. Because they share context, an error does not stay contained; it spreads and compounds.

This is the real worry behind “what if my AI goes rogue.” It is rarely a dramatic act. It is quiet drift into being wrong as a group, with nobody noticing until it is expensive.

Guardrails from the architecture, not a filter

You do not prevent this with a filter bolted on at the end. You prevent it with how the system is built. Three properties do the work. Corroboration means no single agent’s claim becomes truth without independent agreement, so self-deception cannot propagate. Observability means drift is visible before it compounds. And the human owning the consequential decisions is the real kill switch: an agent can be wrong, but it cannot act on being wrong if the calls that matter run through you.

These articles make that concrete, including the honest version of “preventing a Skynet situation”: not a guarantee, but an architecture where being wrong is visible, self-certification is impossible, and a person stays in charge.

In this series

• The echo chamber problem: how an AI talks itself into false things

  An agent can convince itself of a falsehood by reading back its own output and treating it as confirmation. The fix is making sure nothing counts as agreement unless it came from somewhere else.

• Preventing a Skynet situation, in practical terms

  The honest version of AI safety for the systems you actually run: not a guarantee, but an architecture where being wrong is visible and a human stays in charge.

• Why no single agent should certify its own truth

  An agent that can mark its own conclusion as true holds a power no safe system should grant. Certification has to come from outside the thing being certified.

• How to keep your AI agents grounded

  A fleet of agents can drift off course together, confidently. Three properties keep them tied to reality: corroboration, observability, and a human who decides.

• Guardrails that come from the architecture, not a filter bolted on

  A safety filter added at the end catches what it was told to look for and nothing else. Real guardrails come from how the system is built, so the failure modes are absent by design.

• Catching a runaway agent before it becomes a problem

  A runaway agent rarely announces itself. It drifts. The way to catch it early is a readable record of what it believed and why, so a wrong turn shows up while it is still cheap to fix.

• More in this series, coming soon.