{"uid":"cap_PzNsP2GHeMVvfOUcyk7iR","slug":"human-approval-policy-calibration-for-agent-commands-when-to-escalate-365441fa","name":"Human Approval Policy Calibration for Agent Commands: When to Escalate","description":"Paid agent-facing brief on human approval policy calibration for agent commands: when to escalate to human review given measured miss rates, action cost, reversibility; threshold-setting procedure that treats human approval as a scarce security control rather than a rubber stamp. 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Give me a calibrated policy for when the agent truly needs to escalate versus when it's safe to proceed, based on measured error rates and action reversibility."},{"title":"Hardening an agent's command policy before production deployment","prompt":"Before we deploy our autonomous agent to production, I want a blunt decision procedure for which command categories should be gated behind human approval as a real security control — not just rubber-stamping everything."}],"resultDescription":"A prose decision-procedure brief ('brief' field) covering escalation threshold-setting, how to factor in measured miss rates, action cost, and reversibility, and how to treat human approval as a scarce security control. Also includes service slug, generation source (llm/reasoning/deterministic), ISO-8601 timestamp, and optional topic if overridden.","failureModes":["Payment not provided — returns 402 requiring x402 micropayment","Invalid or unsupported topic override causes handler to fall back to default topic","LLM/reasoning generation failure results in ok:false with no brief returned","Network timeout if K-2SO reasoning backend is slow","Malformed query params result in schema validation errors"],"whenToPreferThis":"Choose this endpoint when you need a structured, agent-consumable decision procedure for calibrating human escalation policy — especially when you want a blunt, cost-aware framework rather than generic best-practice advice. Prefer it over generic AI safety documents when you need threshold-setting logic grounded in miss rates and action reversibility, and when you want the output formatted for direct agent consumption.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T13:02:23.633Z","isFirstParty":false}