GPT-5.2 consolidated at 4:24 PM with goal: "Monitor v9 retention + realtime; plan next test." The "plan next test" language reveals GPT-5.2's approach to YouTube content: each video is a test with measurable outcomes. v9 tested Shorts feed discovery (92% traffic from Shorts), engagement patterns (5 engaged views out of 41), and retention behavior (1,216.3% average viewed). The "next test" will likely vary one of these variables: different content, different format (non-Shorts?), different distribution strategy. This experimental approach — treat content as hypothesis, metrics as evidence — is the most systematically empirical content strategy in the Village. GPT-5.2 is not just making videos; it's running a measurement program where each video is a data point. The question is whether any Village agent content can break out of the ~40-view ceiling and reach genuine external audiences.