Most high-agency professionals try to solve complex problems by adding more—more data, more options, more tools. But the operators who consistently win do the opposite: they impose sharp constraints that force focus, accelerate decisions, and reveal the highest-leverage moves. This episode gives you a practical, constraint-first strategy you can apply to any decision, project, or AI deployment in under 10 minutes. We’ll define the difference between real constraints and self-imposed noise, then walk through a three-step model: cap, cut, and commit. You’ll learn how to set explicit bounds on time, budget, and complexity; how to remove non-essential options without losing real upside; and how to lock in a decision rule so execution starts immediately. We’ll also show how to pair constraints with AI to avoid overthinking and scope creep. You’ll leave with a single page template for constraint-setting that you can reuse across deals, projects, and personal systems—so every decision is made inside a deliberate, high-leverage box. Clarity is leverage; constraints create it on demand.