The Intelligence Loop argues that intelligence is not a fixed trait measured by IQ or grades but a process you run: I = M x C x U x T, where Model Quality, Courageous Action, Update Efficiency, and Transfer Power multiply together, so a single variable at zero collapses the whole score. Dr. Jeff Bullock builds the case from his own life: eighteen years at CVS Health where he crammed for exams while his wife Katura built real understanding, two failed businesses (CJ Freight, CJ Dispatch), and the June 2023 founding of PRISM AI Consultants. Each variable gets its own chapter with historical cases (Semmelweis, the Wright Brothers, Sara Blakely, Ed Catmull's Pixar Braintrust, Kodak's Steve Sasson, Claude Shannon, Feynman, Da Vinci) and client composites (David the overworked leadership consultant, Michael the business broker, Greg the sales manager) showing the equation applied.

Later chapters cover how the variables compound into a flywheel, how unused intelligence decays like an unused muscle, why everyone runs the loop inside their own model of reality, and what AI changes: it can match or beat humans at Model Quality and Update Efficiency but cannot supply Courageous Action, making that the premium human skill. The book closes with an honest chapter on the framework's evidentiary limits (the equation is a diagnostic heuristic, not a measurement, and far transfer is contested in the research), then a Monday morning protocol: score yourself, find your lowest variable, run one loop this week, track it, repeat.

It ends with an invitation to work with PRISM AI Consultants.

Themes

  • Intelligence as a process you run, not a fixed trait
  • Courage as a cognitive necessity, not a personality trait
  • Ego and identity as the main blocker to updating your thinking
  • Far transfer: carrying a lesson's deep structure across unrelated domains
  • Decay: unused knowledge and skill atrophy like an unused muscle
  • AI as an amplifier for people who still act, and a replacement for people who only memorize

Key Ideas

  • The equation I = M x C x U x T, multiplicative so one zero kills the whole score
  • The Intelligence Loop: See it, Try it, Feel it, Fix it, Move it
  • The Decay Principle: courageous action tests and maintains your model; stop acting and the model goes stale
  • The Flywheel: M feeds U, C feeds M, U feeds T, T feeds M, each variable compounding the others
  • Skin and Skeleton: strip the surface detail off a lesson to find the transferable deep structure
  • The AI Paradox: Path A cognitive offloading atrophies your loop, Path B hyper-learning uses AI to accelerate it, governed by the Hypothesis Rule (form your own answer before asking AI)

Comparable To

  • Range by David Epstein
  • Mindset by Carol Dweck
  • Creativity, Inc. by Ed Catmull
  • Antifragile by Nassim Nicholas Taleb
  • Atomic Habits by James Clear

Who It's For

For business owners, leaders, and professionals who feel stuck or worried about AI and want a concrete diagnostic instead of another mindset pep talk. Strongest angle: he turns being stuck into a solvable math problem, find the one variable sitting at zero and fix that one thing first.