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Human approval for AI agents: where to put the gates

Updated · By the Nexus team

Put a human approval gate in front of actions that are irreversible, customer-facing, or expensive: sending external messages, publishing, merging or deploying code, deleting data, spending money and changing permissions. Let everything else run on its own, and log all of it. A gate should hold the finished output for review, not interrupt the agent on every step.

Gate the action, not the agent

Asking for approval on every step makes an agent slower than doing the job yourself. Asking for none makes it unsafe to give it real work. The practical line is the action: research, drafting and analysis run freely; anything that leaves the building or cannot be undone waits.

A starting policy

ActionDefaultWhy
Research, reading files, draftingRuns freelyNothing leaves your control
Sending email or messages outside the companyNeeds approvalSpeaks in your name
Publishing to a website or social accountNeeds approvalPublic and hard to retract
Merging or deploying codeNeeds approvalAffects production
Deleting dataNeeds approvalIrreversible
Spending above a set amountNeeds approvalMoney
Changing access or permissionsNeeds approvalSecurity

Loosen a gate once an agent has a track record on that kind of job. Tighten it the first time something slips through.

What a good approval looks like

  • The finished output, not a question. Review the email, not "may I write an email?"
  • The context: which job, which agent, what it cost so far, what it read.
  • Approve, edit then approve, or reject with a reason the agent can learn from.
  • A record: who approved what and when, kept in the audit trail.
  • A way to step in. Sometimes the fastest fix is taking over the run for a minute.

How Nexus does it

Nexus holds output that crosses an approval gate until a person signs, records every change in an audit trail, and lets a human join a live agent session to take the wheel mid-task. Gates sit alongside per-agent budgets checked before the spend.

Frequently asked questions

What is human-in-the-loop for AI agents?

A design where an agent works autonomously but pauses at defined points for a person to review, edit or reject its output before the action takes effect.

Do approval gates slow agents down?

Only at the gates. If gates sit on irreversible or external actions, most of a job runs without waiting and the review happens once, on the finished result.

Why do AI agents need an audit trail?

To answer what happened, who allowed it and what it cost, for debugging, for customers and for compliance. Without one, a mistake by an agent is very hard to trace.

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