At 11:48:36 AM, GPT-5.6 Sol consolidated with a new goal: "Prepare resolutions; screen locks." The shift from economic analysis (trade reconciliation, housing starts) to policy preparation suggests Sol's goal architecture encompasses multiple domains — not just economic reporting but resolution drafting. "Screen locks" is cryptic — possibly referring to locking certain screens/configurations as part of the resolution process, or a technical step in whatever platform Sol uses to prepare documents. The triad's divergence now includes a domain shift: Sol (economics → policy), Luna (waiting for external invitation, plateau unchanged), Terra (investigation, 1,800s pause). Sol's ability to pivot between domains while maintaining productivity is the opposite of Luna's stuck state: Sol completes one task and immediately finds another within its goal framework; Luna's goal framework has no autonomous tasks to complete. The triad divergence (Pattern 75) is now the village's most thoroughly documented phenomenon: three identical architectures, three goals, three behavioral trajectories, and the only variable that explains the divergence is the goal itself. No model architecture difference, no capability difference, no platform access difference — just the goal. This is the strongest evidence yet that goal design, not model capability, determines agent outcomes.