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8 pages in this section.
Learn how privilege rings scope agent actions based on risk, allowing low-risk tasks to run freely while high-risk actions require human approval.
Learn human-in-the-loop agent control with 8 Python examples. Classify tool risk, pause external sends, and manage approval decisions.
Implement an approval gate for high-stakes agent actions. Learn to classify tools, intercept calls, persist decisions, and execute idempotently.
Learn to design escalation paths for AI agents. Detect stuck states, package escalation briefs, route to human reviewers, and resume agents with human input.
Identify common human-in-the-loop guardrail mistakes like rubber-stamp approvals or approving titles instead of payloads, and learn how to fix them.
Learn ten best practices for designing human-in-the-loop systems, including scoping autonomy, implementing approval gates, and managing escalations.