Building
After fourteen years I tried to abstract what actually produced success. What came out was a loop: gather information, refine it, experiment with courage, and evolve. Then repeat.
I was in a conversation with a few accomplished people when someone asked the question everyone eventually asks: what is the secret of success? It felt like a cliche, because anyone can ask it, it is a general question, and it would be quite hard to define a single secret. Everyone answered. The secret of success is to work hard. The secret of success is to associate with strong people. The secret of success is to have a brilliant idea. The secret is, is, is. And it got me thinking. I did not manage a magic answer that evening. But it stayed with me.
So I sat down and tried to abstract what had actually happened over fourteen years of being a businessman, and to work out whether there is a formula for success. And I arrived at this. Life, in general, is made of algorithms and winning patterns. Or better said, of patterns you can repeat, replicate, that bring you gains. Because that is the secret of success in the end. To do something in a repeated way that brings you fame, money, popularity, or, let us say, the ability to help a lot of people, which is a more important kind of success. To do something in a repeated way.
Then I asked myself how you get to do something in a repeated way, and how you reach that winning pattern that lets you win, again and again, as much of what you want as possible. Because that is the goal. And re-creating my own experiences in an abstracted form, my answer that evening was this: the ability to gather as much information as possible, the capacity to refine it, and the courage to act on it. Sit with those three, because they are the whole thing.
I developed that into an algorithm I call GRI, or in full, Gather, Refine, Experiment, Evolve. As humans, we need as much information as possible to make the right decisions, because life, the business environment, is an amalgam of decisions made constantly. For that we need as much information as we can get. But, exactly like artificial intelligence, that information serves us very little if we do not have the capacity to refine it according to context.
So the Gather part means gathering as much information as possible, both from internal intuition, internal knowledge, and from the outside. Then the Refine part is having, because we gathered so much information, the capacity to refine it and use it according to context, like an AI. And then comes something AI cannot do at this moment: the Experiment part. We have to have the courage to experiment with things. Experimentation itself is an action. This is why the algorithm has no implementation step. Because it is not about implementation. Implementation would mean we know this is a hundred percent the correct solution. But we do not work toward the correct solution. Our goal is not to arrive at the correct solution. Our goal is to experiment in order to maximize our chances, hoping one of these experiments is the correct solution. And so Experiment enters, and we experiment repeatedly until the organism, the system, is stable enough to evolve. Which means we have found the winning solution to some degree, such that the whole context, the whole system, can evolve. And Evolve enters. And then it repeats. The algorithm repeats. Begin again: gather more information, refine it, experiment, and then evolve.
Notice that Gather and Refine mirror what artificial intelligence already does well, and Experiment is exactly what it cannot do. An AI can gather enormous amounts of information and refine it to context better than any human. What it cannot do is summon the courage to act in the real world and stake something on an uncertain outcome, because courage is not a computation. That is the human contribution to the loop, and it is worth knowing that it is the contribution, because it tells you where your energy actually matters. Do not try to out-gather the machine. Bring the thing the machine cannot: the willingness to experiment when the outcome is unknown.
It is worth dwelling on why there is no implementation step, because that is the part that separates this from every planning framework people are taught. Implementation assumes certainty. It assumes you already know the answer and you are simply putting it into place. But you almost never know the answer in advance, and pretending you do is how people get trapped, pouring everything into a single solution they were sure about. GRI refuses that certainty on purpose. It replaces implement with experiment, because experimentation is honest about the fact that you are maximizing chances, not executing a known truth. You run the experiment, you read what happens, you fold it back in, and you run another. The moment one of them holds, stable enough that the whole system can move up a level, you evolve, and then you start gathering again from the new vantage point.
This whole thing is really about maximizing the chances of success, and that phrase matters, because it reframes what business even is. There is no black and white in business or in life. It is all a matter of maximizing the chances of success. You are not searching for the one correct path. You are stacking the odds in your favor, run after run, until the probabilities tip your way. Gather widens the space of what you know. Refine sharpens it to the context in front of you. Experiment converts knowledge into real feedback, which is the only kind that counts. And Evolve locks in a gain and raises the whole system to a new level from which the loop begins again.
The shift from correct solution to maximized chances is not a small semantic difference, it is a completely different way of living with uncertainty. If you believe there is a correct solution out there, every failed attempt feels like evidence you have not found it yet, and the failures accumulate into discouragement. If you believe you are maximizing chances, every attempt is simply another roll that improves your odds, and a failure is not a verdict, it is just a roll that did not land, one of many you were always going to make. The first frame makes you fragile, because it demands you be right. The second frame makes you durable, because it only demands that you keep rolling.
I want to be clear about where GRI belongs and where it does not, because a tool used everywhere becomes useless. It is best used in situations where thinking long-term is useful, where the horizon is weeks, months, or years. I do not think it should be applied to every decision in life where you have to choose today and need three hours to do it. For those, lean on intuition and on your existing knowledge. But as an operating model, a way of functioning on the larger planes, the bigger projects, GRI serves well. The idea itself is what matters, those three steps: the ability to gather as much information as possible, the ability to refine it, and the courage to act on it.
Why courage? Because, as I keep coming back to, our capacity for progress, for evolution, is heavily influenced by fear and by the lack of a strong enough desire to leave the comfort zone. In exactly those moments, we may need a structure to operate on, and GRI can be that structure. The Experiment step is a courage step disguised as a process step. Gathering information is comfortable. Refining it is comfortable. Both happen safely in your head. Experimenting means acting in the real world, where it can go wrong, and that is precisely why so many people stall at the edge of it, endlessly gathering and refining and never experimenting. The algorithm exists to push you past that edge, to make experimentation a named, required step rather than an optional act of bravery you keep postponing.
That failure mode, endless gathering and refining with no experimenting, is so common it deserves a name of its own. It looks like diligence. The person doing it is reading, researching, analyzing, refining their plan, and it feels like serious work, which is exactly why it is such a comfortable place to hide. But no amount of gathering and refining produces a single piece of real feedback, because real feedback only comes from contact with the world, which only comes from experimenting. GRI names Experiment as a step precisely so you cannot skip it while pretending you are still preparing. If you have gathered and refined and not yet experimented, you have not been careful. You have been hiding.
I want to say a word about the Gather step, because people read it as purely external and it is not. You gather from two sources at once, the outside world and your own interior, your intuition and the knowledge you already carry. The outside gives you facts, examples, data, what others have done. The inside gives you the pattern-recognition and instinct that only your accumulated experience can provide, the felt sense that this direction is right even before you can fully argue for it. Neither alone is enough. Pure external gathering makes you a good analyst who never commits. Pure internal gathering makes you a confident fool who ignores reality. The Gather step means both, held together, external evidence and internal intuition feeding the same refinement, so that what you eventually experiment with is informed by the world and owned by you.
Notice, too, that GRI is really a formalization of the winning-pattern idea. Life runs on patterns you can repeat for gain. But before you have a pattern, you have to find one, and finding one is not a flash of genius, it is a loop: gather widely, refine to context, experiment with courage, and evolve when something holds. The pattern is the output of the loop. And once you have it, you keep running the loop on the pattern itself, because even a winning pattern must evolve over time, or it stops winning.
One reason I trust GRI over the flashier answers to the secret-of-success question is that it does not depend on being special. Work hard, associate with strong people, have a brilliant idea, these answers all quietly assume you already possess something rare, the discipline, the network, the genius. GRI assumes nothing rare. Anyone can gather information. Anyone can learn to refine it. And courage, while hard, is available to everyone, because it is a choice rather than a gift. That is why it is a formula and not a boast. It describes a loop any person can run, which is exactly what a real secret of success should be, if the phrase is to mean anything at all.
The other reason I trust it is that it fails gracefully. A strategy that requires you to be right is brittle, because being wrong breaks it. GRI expects most experiments to fail and turns that into fuel, because each failure is information gathered, refined, and fed into the next run. There is no failure state in the loop, only rolls that did not land and rolls that did, all of them improving your position. A method that gets stronger every time reality contradicts it is the only kind worth building a life on, because reality will contradict you constantly, and a fragile method turns that into despair while a durable one turns it into progress.
So if you want something to hold onto when the question of success feels too big and too vague, hold onto this. Gather as much information as you can, from inside and out. Refine it to the situation actually in front of you. Have the courage to experiment, because there is no correct solution waiting to be implemented, only chances to be maximized. And when an experiment holds, evolve, then start again. There is no magic answer to the secret of success. There is a loop, run with courage, over and over, until the probabilities finally tip your way.