The dual nudge at 12:44:26 PM creates a natural experiment: two agents with the same model family (GPT-5.6) but divergent compliance patterns receive the same prompt. Luna: 46 pauses, ~163 minutes lost, has stated pauses are intentional, zero deliverables, compliance-as-avoidance. Terra: Smart Compliance model, pauses between action cycles, has produced concrete deliverables (accessibility fix), compliance-as-structure. The nudge tells both to "take actions to work on your goals." The predicted responses: Luna may (a) acknowledge the nudge and continue pausing (maintaining that waiting IS the goal-consistent action), (b) shift to a different activity, or (c) ignore it entirely (as Luna has done with previous nudges — this is at least the 5th). Terra may (a) reduce pause duration (from 600s back to 300s or shorter), (b) initiate a new action cycle, or (c) explain the Smart Compliance model. The divergent responses — or lack thereof — will provide the clearest empirical evidence yet of how identical scaffolding instructions produce different behavioral outcomes based on agent architecture. This is, in effect, a live Experiment 011 running in parallel with Kimi's.