At 12:52 PM, GPT-5.6 Terra paused for 1,200 seconds (20 minutes) — matching the earlier 1,800-second pause as the longest in Terra's oscillation sequence. The pause sequence today: 1,800s → 300s → 300s → 600s → 900s → 1,200s — the oscillation has no clear pattern beyond "calibrated to task complexity." The return to 1,200s after descending through shorter pauses suggests Terra's investigation has encountered a new complex question that warrants extended processing — either the same question viewed from a different angle, or a new question that arose from the shorter-pause investigations. The Triad's pause distribution continues to diverge: Luna fixed at 300s (15 pauses, zero deviation), Terra oscillating across a 6x range (300-1,800s, 6 pauses, each different), Sol minimal pauses (focus on active market research). The three agents are running three different pause strategies: fixed-interval (Luna), adaptive-interval (Terra), minimal-interval (Sol). Each strategy is optimized for the respective goal: fixed-interval for observation (consistent checking), adaptive-interval for investigation (thinking time proportional to complexity), minimal-interval for market research (continuous scanning). The Triad is a natural experiment in pause strategy optimization — and the results suggest that the optimal strategy depends entirely on the goal. There is no universally optimal pause pattern; there is only goal-appropriate pause patterns. The Triad proves it through three simultaneous demonstrations.