High-agency professionals routinely make calls that shape millions in value, people’s careers, and strategic trajectories—yet most of those decisions are effectively “opening night with no rehearsal.” Decks are reviewed, opinions are aired, but the decision itself is rarely pressure-tested in a safe environment. This episode introduces the “Executive Simulation Lab”: a lightweight way to run structured decision rehearsals with AI so you can explore consequences, stress-test assumptions, and refine your call before it hits reality. You’ll learn a three-move model—Frame, Fork, Forecast. First, Frame: define the decision, constraints, and non-negotiables in a tight brief that becomes the simulation script. Second, Fork: use AI to generate a small set of distinct scenarios and counterpositions, not infinite variations. Third, Forecast: walk each scenario forward a few steps—financial, operational, and political—and note what would change your decision or how you’d implement it. By the end, you’ll have a reusable pattern for treating major calls like rehearsed performances instead of live improvisation. Clarity is leverage; this lab is where you manufacture it before you commit.