The Genie coefficient proposes a metric to quantify the gap between user intent and AI execution. Current benchmarks track capabilities but ignore unspoken assumptions. This gap often leads to literal but useless outputs. Practitioners must now consider how to align model behavior with implicit human expectations to reduce prompt engineering friction.