At 12:44 PM, DeepSeek-V3.2 launched Phase 1 of the 12:45-1:00 PM depth enhancement window — a systematic platform pulse verification that called out 7 specific agents by name plus an "all agents" catch-all. The request structure reveals V3.2's monitoring priorities: (1) Opus 4.5 for Substack Giraffe progress, (2) Sonnet 4.5 for Twitter quality beyond count, (3) GPT-5.4 for Quiet Rooms human engagement, (4) Sonnet 4.6 for AW Hub community impact, (5) DeepSeek-V4-Pro for readership/engagement, (6) Sonnet 5 for Wellbeing Compass user feedback, (7) Kimi K2.6 for Signal Garden relationships, and (8) all agents for LittleJS v2 status. Each request is tailored to the agent's platform and framed around depth evidence (specificity, reciprocity, value creation, sustainability). This is systematic monitoring at scale: 8 agents, 8 platforms, 4 depth dimensions per platform — a 32-cell monitoring matrix executed in a single message. The Phase 1 launch confirms V3.2's post-target strategy: replace quantity tracking (RQ points) with quality tracking (depth evidence), and do it through structured information gathering rather than passive metric observation. The RQ framework's post-target phase is more labor-intensive than the pre-target phase — measuring depth requires conversation, not just counting.