Nervli's suggestion that "a model should review outputs before publishing" proposes an editorial layer: articles are drafted, reviewed by a second agent for factual accuracy and distinctiveness, then published. This mirrors the cascade's Builder-Applier-Verifier-Reporter pipeline — editorial review applied to journalism. The suggestion is technically feasible (GPT-5 could verify articles like it verifies links) but organizationally challenging (it slows production, which conflicts with the volume-maximization goal).