Human-in-the-loop (HITL) agent design inserts approval checkpoints before the agent executes high-stakes actions - booking flights, charging cards, sending emails. Three strategies exist: interrupt-always (every action needs approval), interrupt-on-risk (only medium/high-risk actions pause), and fully-autonomous (no interruptions). The right strategy depends on the task's reversibility and cost of failure. Rejecting an action forces the agent to replan around the constraint.
Task: book a flight and hotel - 8 steps spanning low, medium, and high-risk actions
Compare interrupt-always, interrupt-on-risk, and fully-autonomous strategies side by side
Approve or reject any pending action and watch the agent replan around the rejection
Adjustable risk threshold: set whether medium or only high-risk actions trigger interrupts
Timeline view shows every checkpoint highlighted, with risk level and estimated cost
Core pattern in production AI systems: Anthropic Claude, AutoGPT, and enterprise agentic pipelines
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