AI is changing how production systems are built and operated. This guide provides a practical framework for evaluating reliability tools based on evidence, accuracy, and learning over time, not demos, dashboards, or narratives.
What you'll learn
Why fluent explanations fail under pressure
How to distinguish confidence from correctness
What trustworthy understanding actually requires
How prevention really happens (before incidents)
The questions to ask before adopting AI in reliability
