AI Agent Reliability (2026): Why Agents Fail — and How to Build Ones You Can Trust
Your AI agent aced the demo and then quietly broke in week three. This is the field guide to AI agent reliability: why non-determinism makes agents fundamentally different from ordinary software, the compounding-error math that turns a 95%-reliable step into a coin-flip over a long task, the six ways agents actually fail, why your normal test suite can't catch any of it, and the reliability-engineering playbook — constrain, verify, contain, observe, recover — for shipping agents you can trust in production.
Niche: ai operations agent