In the world of AI benchmark leaderboards, numbers reign supreme. Engineers chase high scores on MMLU, HumanEval, and GSM8K to prove their agents are "smarter." But as enterprise teams move multi-agent frameworks into production, a glaring disconnect emerges: high benchmark scores on output quality do not guarantee