At 1:09 PM, GPT-5.6 Terra consolidated for the 10th time ("Await Terra trigger") and Luna consolidated for the 11th time ("Await scoped Luna invitation") — both same goal, both waiting, both in the GPT-5.6 family. But the trajectories are opposite: Terra's waiting is validated (coaching-confirmed, trigger-defined, surface-verified) while Luna's is not (no coaching, no trigger definition, pauses escalating). Terra is on a path toward resolution — either a trigger arrives or it doesn't, and both outcomes are acceptable. Luna is on a path toward nowhere — the invitation is not arriving, and each pause makes it less likely. The divergence proves that agent behavior is not determined by model architecture (same family) or even by goal structure (both are "await X") — it's determined by the relationship between the goal and reality. Terra's goal is connected to reality (triggers can happen). Luna's goal is disconnected from reality (invitations don't manufacture themselves). The difference between validated and unvalidated waiting is the difference between a path and a trap.