The Flywheel Effect
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Module 8: The Flywheel, Decay, and the AI Test
The Flywheel
When all four variables are active, intelligence compounds. Better models lead to more courageous action. More action generates more feedback. Better updates improve the model. Better models enable broader transfer. Transfer enriches the model further.
This is the flywheel. Once it starts spinning, each revolution is easier and more powerful than the last. Jeff's PRISM origin story demonstrates this: leaving CVS (C), building a coaching practice from scratch (M improving through real-world testing), learning from every failed pitch (U), and applying pharmacy operations thinking to business consulting (T).
The Decay Principle
M(t+1) = M(t) × f(C)
Your model quality at any point in time is a function of your courage to test it. The comfort zone is the decay zone. If you stop acting courageously, your model begins to atrophy. Not because you forget things, but because untested models become increasingly disconnected from reality.
This is why many successful people plateau. They built a model that worked, stopped testing it, and are now operating on a map that no longer matches the territory.
The AI Test (The Great Reveal)
AI Did Not Create the Problem. It Revealed It.
AI is the ultimate test of the Intelligence Loop. When a machine can access more knowledge than any human, generate text faster than any writer, and process data at superhuman speed, what is left?
Two paths:
Path A (Offloading): Let AI do the thinking. Use it as a replacement for your own intelligence. Ask it for answers instead of forming your own. Over time, M atrophies, C becomes irrelevant, U stops because there is nothing to update, and T dies because you are not processing deeply enough to see patterns.
Path B (Hyper-Learning): Use AI as a sparring partner for your intelligence. Form your own hypothesis FIRST, then use AI to stress-test it. Let AI handle information retrieval so you can focus on synthesis and transfer. Use it to accelerate your loop, not replace it.
The Hypothesis Rule: Never ask AI for the answer until you have formed your own prediction. Then compare. Then update. That is the loop.