Data Bricklaying Diary

Oct 19, 2026 · Operations

Before Your AI Agent Troubleshoots, Make It Show the Evidence

This article outlines a rigorous framework for AI-assisted incident troubleshooting: verify alerts before trusting agents, gather structured evidence from tasks and call chains, treat root causes as testable hypotheses, separate fixed queries from model analysis, enforce read-only budgets, require authorized runbooks for remediation, and measure effectiveness by diagnostic accuracy and recovery time rather than suggestion adoption rates.