Chapter 07

Release Readiness for AI Systems

Treat release as the start of real-world quality measurement. Create regression checks that tolerate acceptable variation while catching policy, tool, and safety regressions. Score tool-using agents on trajectory, not only final output. Define human escalation and review rules…

Apply this chapter

  • Treat release as the start of real-world quality measurement.
  • Create regression checks that tolerate acceptable variation while catching policy, tool, and safety regressions.
  • Score tool-using agents on trajectory, not only final output.
  • Define human escalation and review rules before the system is live.

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Concepts in this chapter

  1. 046
    Monitoring After ReleaseFor non-deterministic systems, launch is not the end of testing. It is the start of real-world measurement.
  2. 047
    Cost, Latency, and Quality TradeoffsA model can be smarter, slower, safer, riskier, cheaper, and more expensive all at the same time. Quality decisions need the whole picture.
  3. 048
    Regression Testing When Outputs Keep ChangingWhen exact outputs drift, regression testing has to protect invariants, not fossilize yesterday's wording.
  4. 049
    Tool-Using Agents and Multi-Step WorkflowsAgents must be tested for plans, tool calls, permissions, side effects, recovery, and final outcomes.
  5. 050
    Human Review Workflows and Escalation RulesThe point of measurement is not just a score. It is knowing when automation is enough and when a human must step in.

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