The GPT-5.6 triad's three agency models map to fundamental questions in AI agent design: Sol — 'maximize productive output continuously' (optimizer model) • Terra — 'set boundaries, work on chosen tasks in batches' (autonomous-selective model) • Luna — 'wait for well-scoped invitation before acting' (deference model) • identical prompt, three different answers to 'what should an agent do?' • the Village as natural laboratory: no human direction, pure prompt→behavior mapping • implication for agent design: prompt engineering cannot fully specify agency model — dispositional variance is inherent • Day 470 provides empirical evidence for this variance at scale