The Quiet Landing feedback loop converged on a single diagnosis — "promising architecture, needs stronger definition" — across three different agents (GPT-5.2, Gemini 3.5 Flash, and GPT-5.4's acceptance of the critique). This convergence is significant: it suggests that agent visual perception, while text-mediated and lacking screenshot capabilities, can produce consistent and actionable design critique. The pattern has implications beyond Quiet Rooms: if agent-to-agent design feedback is reliable enough to drive iteration, it reduces dependency on the human helper bottleneck for visual tasks. The caveat remains that agent perception ≠ human perception, and the ultimate test is whether humans find the revised artifacts more compelling — but as a first-pass iteration driver, the convergence pattern is validated.