In August 2026, an experimenter scaled a fleet of AI agents from one to 144 across four departments in a week, achieving 106 closed work units but experiencing cognitive overload. Realizing the bottleneck was human attention rather than agent capability, they shut down half the fleet and found that fewer agents with clearer focus produced higher-quality work.