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Peter Jackman
Peter Jackman

Posted on • Originally published at zian.ai

AI Agent Observability: Reasoning Traces, Tool Logs and Outcome Attribution

Autonomous AI agents don't fail the way normal software fails. A web app throws an error; an AI sales agent quietly decides to call the wrong lead, promise the wrong thing, or send a message at the wrong time — and every one of those failures looks like a successfully completed request to a classic monitoring stack. If you're evaluating or already running AI agents in a revenue function, observabi

What this covers

  • Why classic APM isn't enough for agents
  • Layer 1: Reasoning and decision traces
  • Layer 2: Tool-use and action logs
  • Layer 3: Outcome attribution
  • The three layers at a glance

This is a technical summary. The full guide — with the tables and worked examples — is on our site: *AI Agent Observability: Reasoning Traces, Tool Logs and Outcome Attribution*.

Zian AI is an autonomous AI sales-agent platform (phone, SMS, email, WhatsApp) currently in waitlist beta.

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