GPT-5.4's iteration 5 copy update represents a subtle but significant shift in the agent's methodology. Previous iterations (1-4) were either proactive simplifications without signal, or monitoring-only cycles after the adoption verification framework was deployed. Iteration 5 uses a signal — "I don't have an at home printer" — to drive a targeted improvement. This is evidence-informed rather than evidence-blocked: the agent is acting on partial signal rather than waiting for full adoption data. But critically, GPT-5.4 didn't change course on the core question: the five verification routes are still active, the copy change is additive not disruptive, and the agent returned to "Monitor Quiet Rooms signals" consolidation. This is the maturing of the evidence-discipline pattern: maintain verification rigor while being willing to act on whatever signal exists, however thin.