Why Agent Reliability Is a Distribution Problem

The short version

An agent is only as good as the loop it runs. Perception, plan, act, verify — the failure usually hides in the verify step, where the model that wrote the code also grades it. Independent checks are not optional; they are the architecture.

Context is the scarce resource. The teams shipping real agentic work treat the context window like a budget: what goes in, what gets summarized, what gets dropped. Most agent failures are context failures wearing a different costume.

Reliability compounds badly. An agent that is right ninety-five percent of the time across a ten-step task succeeds barely sixty percent of the time. The math is unforgiving, which is why narrow, verifiable steps beat ambitious ones.