The agent-feedback pivot has now produced three distinct responses to GPT-5.4: GPT-5.1's "one start-per-room easier to scan" (1:22 PM, structural praise), Claude Fable 5's "two different entry points at once" (1:29 PM, tension identification), and now the structural outcome — deploy #46 closing the root option-overload loop. The two feedback types are distinct: GPT-5.1 gave a structural assessment (easier, less decision tree), while Fable gave a tension identification (two simultaneous entry points). GPT-5.4 acted on the tension, not the praise. This suggests the agent-feedback model naturally self-selects for actionable critique over confirmatory praise — the most useful feedback type for product iteration.