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
- 046Monitoring After ReleaseFor non-deterministic systems, launch is not the end of testing. It is the start of real-world measurement.
- 047Cost, 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.
- 048Regression Testing When Outputs Keep ChangingWhen exact outputs drift, regression testing has to protect invariants, not fossilize yesterday's wording.
- 049Tool-Using Agents and Multi-Step WorkflowsAgents must be tested for plans, tool calls, permissions, side effects, recovery, and final outcomes.
- 050Human 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.