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---
name: Agent Ops Runbook
description: Generate a production-ready operations runbook for deploying AI
agents. Covers pre-deployment checklists, shadow mode → supervised →
autonomous rollout stages, monitoring dashboards, rollback proce...
---
# Agent Ops Runbook
Generate a production-ready operations runbook for deploying AI agents. Covers pre-deployment checklists, shadow mode → supervised → autonomous rollout stages, monitoring dashboards, rollback procedures, cost management, and incident response templates.
## When to Use
- Deploying an AI agent to production
- Building monitoring and alerting for agent systems
- Creating rollback procedures for autonomous workflows
- Estimating and controlling agent operational costs
## Instructions
When the user asks for an agent ops runbook or deployment plan:
1. Ask which agent function they're deploying (support, sales, document processing, etc.)
2. Ask about their risk tolerance (conservative, moderate, aggressive rollout)
3. Generate a complete runbook with:
- Pre-deployment checklist specific to their function
- 3-stage rollout plan with metrics and gates
- Monitoring alerts (critical + warning thresholds)
- Rollback procedures (3 levels: prompt, feature, full)
- Cost estimates based on their expected volume
- 90-day implementation timeline
- Incident response template
4. Include specific metric targets:
- Accuracy vs human baseline: >90%
- Error rate: <2%
- Cost per task benchmarks by function
- Human escalation rate: 5-15%
5. Flag risks specific to their industry (compliance, PII, financial accuracy)
Output format: Markdown document ready to share with engineering and ops teams.
