AI Agent Run Log Template: Track Cost, Failures, Evidence, and Approval

Short summary

A structured run log template for AI agent workflows that captures outcome, role shape, status, evidence, cost, time, failures, and approval decisions — fields a chat transcript alone cannot provide. The author argues that without these operational records, fluent AI output can mask missing deliverables, unsupported claims, or unauthorized actions. The post includes a free browser-based tool (Operator Control Room) and guidance on iterating role shapes after comparable runs.

• •Run logs should track outcome, evidence, cost, time, failure, and human approval — not just chat history
• •Six release conditions must be verified before accepting an AI-generated artifact
• •Compare role shapes across runs and change one variable at a time to improve quality

Generated with AI, which can make mistakes.