Type this exactly: cat /opt/ai-lab/incidents/runbook.md
cat /opt/ai-lab/incidents/runbook.md
Review a prompt rollout incident through a bounded evidence-first AI operations workflow in the training lab.
Incident response and capstonescat /opt/ai-lab/incidents/runbook.mdaiops incidents review review-a-prompt-rollout-incidentgrep incidents /opt/ai-lab/incidents/runbook.md
Click any instruction for the command details, the why, and the common mistake to avoid.
Type this exactly: cat /opt/ai-lab/incidents/runbook.md
cat /opt/ai-lab/incidents/runbook.md
Type this exactly: aiops incidents review review-a-prompt-rollout-incident
aiops incidents review review-a-prompt-rollout-incident
Type this exactly: grep incidents /opt/ai-lab/incidents/runbook.md
grep incidents /opt/ai-lab/incidents/runbook.md
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Use commands and observable output to explain review a prompt rollout incident without changing a real model or service.
Start with cat /opt/ai-lab/incidents/runbook.md. Then run aiops incidents review review-a-prompt-rollout-incident before collecting the final evidence.
Review a prompt rollout incident is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.
aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
aiops prompts
Review versioned prompt metadata and deterministic prompt diffs.
aiops evals
Run and inspect bounded evaluation fixtures without model execution.
aiops rag
Inspect retrieval documents, chunks, index status, and reviewed results.
aiops traces
Read deterministic request traces, summaries, and latency evidence.
aiops guardrails
Review simulated guardrail policies, checks, and audit summaries.
aiops cost
Estimate cost and capacity from fixed training metrics.
aiops incidents
Review incident timelines, evidence bundles, and operator notes.