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: \x3C2%
   • 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.