A post outlining the Gauntlet Loop argues that AI agents settle for “good enough” and judge their own work too generously. The proposed process sets a concrete benchmark, splits work among specialist agents and repeatedly revises each piece. Critics receive fresh context and see only the artifacts, without knowing which is the builder’s output. Revisions continue until the critics prefer that output to the reference—or the person running the process stops. The post promotes the approach for professional work beyond games.