Smoov Brain: Principles and Practices

My first book, Smoov Brain: Principles and Practices, offers a proven framework for optimizing the CPU and RAM in your head every day. It’s the ultimate guide on how to improve your problem-solving and decision-making skills and overcome common [smoov.bra.in2023] reasoning errors. 


You can think of this website as the place where I share my thoughts and the lessons I’ve learned over the years from great masters and extensive study. Below, I have added a list of the books that are currently on the bookshelf in my office and that I talk about often in my articles. Hopefully you will use them as inspiration for your own reading material and future study. 


Mental Models

Business & Entrepreneurship

History and Philosophy:

Artificial Intelligence and Machine Learning

Investing & Finance



The Conquest of Space by David Lasser
The Hitchhikers Guide to the Galaxy by Douglas Adams
Space is Open for Business by Robert Jacobson
America’s New Destiny in Space by Glenn Reynolds
Not Necessarily Rocket Science by Kellie Gerardi


Foundation (pt 1-3) by Isaac Asimov
Station Eleven by Emily St. John Mandel
1984 by George Orwell


Basic Economics by Thomas Sowell

Human Action by Ludwig von Mises

Principles of Economics by Carl Menger

The Origins of Money by Carl Menger

The Theory of Money and Credit by Ludwig von Mises

The Bitcoin Standard by Saifedean Ammous

Mental Models

Poor Charlie’s Almanac by Charles Munger

The Most Important Thing by Howard Marks

The Personal MBA by Josh Kaufmann

The Fifth Discipline by Peter Senge

Thinking in Bets by Annie Duke

Against the Gods by Peter Bernstein

The Great Mental Models by Shane Parrish

Principles by Ray Dalio

Seeking Wisdom by Peter Bevelin

Algorithms to Live By: by Brian Christian

Superforecasting: by Philip Tetlock

The Model Thinker by Scott Page

Business & Entrepreneurship

Zero to One by Peter Thiel

The Wealth of Nations by Adam Smith

Build by Tony Fadell

Capitalism and Freedom by Milton Friedman

Small Business Management by  Longenecker/Moore

History and Philosophy:

Great Dialogues of Plato by Plato

Plato: Complete Works by Plato

Letters from a Stoic by Seneca

Principles of Philosophy by Rene Descartes

Sapiens by Yuval Harari

Book of Five Rings by Miyamoto Musashi

The Art Of War by Sun Tzu

Beyond Good and Evil by Friedrich Nietzsche

The Thinker’s Guide to Socratic Questioning by Richard Paul

The Socratic Method of Psychotherapy by James Overholser

Investing & Finance

How to Make Money in Stocks by William O’Neil

Principles of Finance with Excel by Simon Benninga

The Outsiders by William N. Thorndike Jr.

Bull! by Maggie Mahar

Adaptive Markets by Andrew W. Lo

Security Analysis by Benjamin Graham

The Intelligent Investor by Benjamin Graham

Common Stocks and Uncommon Profits by Philip A. Fisher

Margin of Safety by Seth A. Klarman

The Little Book of Common Sense Investing by John C. Bogle

When Genius Failed by Roger Lowenstein

Value Investing by Bruce C. Greenwald

What Is Value Investing? by Lawrence A. Cunningham

Getting Started in Value Investing by Charles S. Mizrahi

Stress Test by Timothy F. Geithner

Analysis of Financial Statements by Leopold Bernstein

Limping on Water by Philip Beuth

Money Masters of Our Time by John Train

The Clash of the Cultures by John C. Bogle

The Complete Investor by Tren Griffin

The Warren Buffett Way by Robert G. Hagstrom


Outliers by Malcolm Gladwell

Influence by Robert Cialdini

Tao of Charlie Munger by David Clark

How to Win Friends and Influence People by Dale Carnegie

Noise by Daniel Kahneman

Getting to Yes – Negotiating Agreement Without Giving In by Roger Fisher

How to Decide by Annie Duke

Judgment in Managerial Decision Making by Max H. Bazerman

Man’s Search For Meaning by Viktor E. Frankl

Fooled by Randomness by Nassim Taleb

Essays In Persuasion (1932) by John Maynard Keynes

Superforecasting by Philip E. Tetlock

Atomic Habits by James Clear

Think Again by Adam Grant

The Art of Thinking Clearly by Rolf Dobelli

Thinking, Fast and Slow by Daniel Kahneman 

Artificial Intelligence and Machine Learning

Superintelligence by Nick Bostrom

Math for Machine Learning by Richard Han