Autonomy
you can prove.
A guardrail classifies every tool call before it touches the outside world: execute, check, ask a person, or refuse. No model sits in that decision, so it cannot be talked out of it.
A guardrail classifies every tool call before it touches the outside world: execute, check, ask a person, or refuse. No model sits in that decision, so it cannot be talked out of it.
A JSON Logic rule sorts each proposed call into execute, execute if a guard passes, ask a human, or refuse.
Attach guardrails to agents and tools; when several apply, adding one can only tighten the outcome.
A held call arrives with the agent’s reasoning, evidence and predicted impact, so a reviewer decides on facts.
What a guard stopped is recorded as an exception, and every write, refusals included, leaves an audit entry.
Guardrails, approvals and exceptions from Pro; the audit log from Business. Compare plans
By the end you will have an agent whose refund tool is governed: small refunds run on their own, large ones wait for a person, and you approve one and watch the agent finish. Every step is one call, shown for the CLI, the SDK and curl.
Start the tutorialSign in, connect your assistant or open the quickstart, and run your first agent.
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