#observability

Part 4 ended with a debt: whether the loop is actually doing the job. When a skip was correct, when a tool lied, and when the audit trail is the only honest record.

This is Part 5 of 6 in my Agentic Coding with Claude Code series. The working model I am keeping is simple: evaluation is how I score a run. Observability is how I see the run. Structured output is the seam between them.

A harness that cannot tell success from a polite hallucination is a demo. Later I will talk about bounded autonomy. This one stays on scoring the loop and seeing it.

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