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AI Agents Live Sentinel

Autonomous agents with human checkpoints where it matters

For teams running agents against systems where a wrong action costs money. Every run is a durable state machine with a replayable trace, and every irreversible step pauses for a human before it happens.

Began as the durability layer we rewrote on every agent engagement. The fourth rewrite became the product.

1.4M Agent runs executed monthly
98.7% Completed without human escalation
<400ms Median step-resume latency

The problem

Most agent frameworks optimise for the demo. They lose state on restart, retry non-idempotent actions, and give operators no way to see why a run went wrong. That is survivable in a prototype and disqualifying in production.

Our approach

We model every run as a durable state machine persisted after each step. Tool calls declare whether they are reversible; irreversible ones pause for human approval and resume from the exact step once granted. Every run produces a replayable trace, so a failure three weeks ago can be re-executed against new code.

This began as internal tooling. We were building agents for clients and rewriting the same durability layer each time: checkpointing, retries, approval gates, trace capture. The fourth rewrite became a product.

What it does differently

The design premise is that an agent is a long-running workflow, not a chat loop. That reframing solves most of the reliability problems people attribute to models. A workflow can be paused, resumed on another machine, replayed against a new prompt, and audited months later.

Where it fits

It is used in production for order reconciliation, contract review triage, and multi-step ops runbooks. These are cases where a wrong action is expensive and the audit trail is not optional.

The practiceAgent systemsFor teams that need software to act on real systems unattended, and to be able to prove what it did.AI AgentsThe note behind itAn agent is a workflow, not a chat loopMost agent reliability problems are not model problems. They are state management problems wearing a costume.AI AgentsNext productEvent-driven orchestration for operations teamsBuilt forward-deployed inside a client's operations team, then generalised. It still runs their nightly reconciliation.Automation

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