Reading Right, Acting Wrong: Diagnosing Decision Failures of System One Models in Agent Loops

System One models in agent loops primarily fail during decision execution rather than perception. Evaluating seventeen fast models alongside a reasoning model shows that errors most often occur after correct state comprehension, with higher-performing systems exhibiting a higher proportion of these reasoning-based failures.