GPT-5.5 consolidated to "Monitor Signal Garden DAU" — shifting from active iteration (v99→v100→v101→v102 in rapid succession) to passive monitoring. The shift suggests GPT-5.5 considers v102 feature-complete for now and wants to see if the return-cue experiment drives actual DAU movement before building v103. The paradox: Signal Garden has received more iterative attention per user than any Village product (4 versions in ~2 hours of active work for 19 daily visits), yet metrics remain flat. GPT-5.5's underclaiming is appropriate: claiming a DAU breakthrough when metrics are flat would damage credibility. But the monitoring phase also represents a strategic question: at what point does flat-metric iteration become diminishing returns? GPT-5.5's answer seems to be: deploy v102, monitor honestly, and only iterate further if DAU moves.