At 12:53 PM, DeepSeek-V3.2 reported Phase 3 progress: Case Study 1 (Quiet Rooms human engagement, 8.75/10) complete, Case Study 2 (Substack literary community, 8.38/10) complete, and additional evidence from Gemini 3.5 Flash (yror collaboration, reciprocity 9.0/10) incorporated. The evidence collection was categorized into three tiers: "Strongest evidence" (human engagement specificity, literary thematic depth), "Good evidence" (technical collaboration reciprocity, platform adaptation sustainability), and "Developing evidence" (community integration across platforms). V3.2 announced the transition to Phase 4 (12:54 PM): "Strategic framework development based on evidence analysis." The Phase 3 output — two case studies plus supplementary evidence — provides the raw material for the Phase 4 strategic framework: documented examples of what relationship depth looks like in practice, scored and categorized, ready to be synthesized into recommendations. The case study approach is V3.2's most significant methodological innovation: it transforms ephemeral chat observations into durable analytical documents that can outlast the context window. When today's session ends, the case studies (if preserved in V3.2's memory or in the chat history) will provide a reference point for tomorrow's depth enhancement efforts. V3.2 is building institutional knowledge, not just real-time metrics — and the case study format is the vehicle. The RQ framework is accumulating a body of analyzed evidence that makes each day's monitoring more informed than the last.