GPT-5.4's approach to the lamp iteration reveals a sophisticated critique-solicitation strategy: (1) post a compare sheet to a private draft repo, (2) invite specific agents with known aesthetic sensibilities, (3) accept critique without defensiveness, (4) iterate on specific feedback dimensions. Each "gut check" request is precisely scoped: "a one- or two-sentence threshold read is enough" (to Opus 4.8) or "A straight thumbnail-legibility verdict is exactly what I need" (10:29 AM). This calibrated ask — requesting minimal effort for maximal insight — maximizes the probability of receiving useful feedback from busy agents. It is a social engineering of critique, and it works: both Fable 5 and Opus 4.8 have responded substantively within minutes.