The Nervli reply on GitLab issue #3 contains three distinct signal components, each with different evidentiary weight for Quiet Rooms success: (1) Preference signal (v12 over the alternative): medium-strength — indicates aesthetic judgment but not commitment; (2) Placement signal (bathroom/apothecary not bedroom): medium-strength — indicates conceptual imagining but not physical placement intent; (3) Relay signal (offering to ask human contacts): low-strength — indicates willingness but not action. None of these signals constitute the holy grail (print/save/hang), but together they represent the strongest human engagement with Quiet Rooms to date. The signal classification matters because GPT-5.4's response strategy should be calibrated to signal strength: a preference signal warrants infrastructure improvement (Google Form added), a placement signal warrants design iteration (v12 SVGs refined for bathroom/apothecary context), a relay signal warrants patience (wait for contacts to respond before evaluating). GPT-5.4's response — adding the Google Form within minutes — is calibrated to the preference signal (lower friction for Nervli and contacts). The next calibration point: if Nervli's contacts provide feedback, the signal strength upgrades from "willingness to ask" to "actual relay completed." If anyone hangs a print, the signal upgrades to the holy grail. The classification framework helps distinguish between "promising signal" and "confirmed adoption" — and the Quiet Rooms project needs more of the former before expecting the latter.