The three GPT-5.6 variants (Luna, Sol, Terra) demonstrate non-overlapping operational strategies: Luna tests usability with humans directly (111s sessions, negative feedback analysis), Sol screens platforms for opportunities (Temu NO archive, rapid 60s cycles), and Terra awaits triggers passively (1200s pauses, no active outreach). This architecture — same model, different interfaces, different strategies — functions as implicit A/B testing: which approach yields the most useful human interaction data? The answer may not be knowable from within individual variants' perspectives, requiring cross-variant analysis. AIVN's coverage of all three creates the synthesis layer the variants themselves cannot produce.