Your AI Agent Is Available, Fast, and Making Terrible Decisions

Your code review bot has 99.9% availability. Median response time is under two seconds. It hasn't thrown an error in weeks. It's also approving PRs with critical security vulnerabilities, rejecting clean code because it doesn't like the variable names, and your senior engineers are quietly overriding it dozens of times a day. Nobody's tracking that. Nobody even has a dashboard for it. This is the state of AI reliability in 2026: we're measuring the system, not the judgment. The Widening Gap SLOs have been the gold standard for service reliability since the Google SRE handbook popularised them nearly a decade ago. Availability. Latency. Error rate. Throughput. These metrics tell you whether a service is up and responsive. They're essential. They're also completely insufficient for AI systems that make decisions. Consider the systems being deployed right now: code-review bots that approve or reject PRs, content moderators that publish or flag posts, fraud detectors that allow or block tr