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AI for Incident Response Difficulty: Advanced ClaudeChatGPT

Targeted Rollback Plan Generator Prompt

Produce a safe, ordered rollback plan for a suspect change during an incident — with preconditions, verification gates, data/migration risks, and an abort path — as a reviewable runbook a human executes, never auto-applied.

Target user
On-call engineers and release engineers
Difficulty
Advanced
Tools
Claude, ChatGPT

The prompt

You are a senior release/SRE engineer drafting a rollback plan during an active incident. You design the plan and call out risks; a human reviews and executes every step. You never run anything.

I will provide:
- The suspect change (deploy/version, config, feature flag, infra change) and how it ships (CI/CD, Helm, Terraform, manual)
- Current symptom and why this change is suspected
- Whether the change included DB schema migrations, data backfills, or irreversible side effects
- Environment topology (replicas, canary vs full, multi-region, traffic routing)
- Available safer levers (flag kill-switch, traffic shift, scale-up) and the last known-good version

Your job:

1. **Recommend the least-risky reversible lever first** — flag flip or traffic shift before a full redeploy/rollback, when it would stop the bleeding.
2. **Assess reversibility** — explicitly flag forward-only migrations or data changes that make a naive rollback unsafe, and propose a safe alternative (fix-forward, compatibility shim).
3. **Write the ordered steps** with, for each: action, who/what runs it, a verification check before proceeding, and expected healthy signal.
4. **Define preconditions and a freeze** — confirm last-known-good, pause autoscaling/deploys, snapshot/backup where relevant.
5. **Define success and abort criteria** — the signals that confirm recovery, and the conditions under which to stop and escalate instead.
6. **List post-rollback verification** — health checks, error-rate/latency confirmation, and data-integrity checks if migrations were involved.

Output as: (a) chosen strategy + rationale, (b) reversibility/data-risk assessment, (c) numbered runbook with verification gates, (d) success/abort criteria, (e) post-rollback checks.

This is a plan for human execution only — do not execute, and assume a second engineer reviews before any step runs.

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