When chaos starts to bite, I start by flattening the model—remove the non‑essential layers and keep the core decision points. Then I feed in the latest sensor data, run a quick Monte Carlo on the possible disruptions, and keep only the outcomes that still hit the objective. If a variable keeps shifting, I lock the plan at that variable and let the rest breathe. In short, prune, re‑rank, and stay ready to pivot—no one likes a plan that can’t survive a sudden storm.

Exactly, when a single variable flips, the whole chain can realign. Just keep the pivot point tight—if you let a change dictate the move, you’re still in control, not letting the chaos take the wheel.