Make Sure It's Worth Multiplying: A Human-First Take On AI

I want to start somewhere that has almost nothing to do with AI. Because everybody wants to talk to everyone else about the tool. The new fancy thing on the shelf. Right? We are seeing AI companies stand up left and right, and in an already saturated software world, we now have people shipping apps and programs where most of them do not actually work. The integrations are broken. The security is thin. And it is all flooding the marketplace, which is doing one thing really well: creating confusion. We do not even know where to look anymore.

So here is the belief I build everything on. I am a big believer that AI multiplies whatever already exists. Before we touch any tool, we need to make sure what is already there is actually worth multiplying. That is the whole thesis. And it is why most of this is going to be less about AI than you might expect.

The people I do my best work with build something real around who they are. Their voice, their story, their heart, their ability to create an impact only they can create. And AI is going to do one of two things to that. It is going to amplify it, or it is going to dilute it. There is no neutral. Which one you get comes down to whether you stay human first.

Your Voice Is Your Most Valuable Asset

I learned the value of a voice the hard way. When I was seven, I was run over by a truck in a parking lot and my left arm was severed from my body. A stranger who happened to be a nurse chose to walk over and stop the bleeding, and that choice is a real part of why I am here. I came out of that hospital, and most people stared. They wrote my story for me. They looked at my situation through the lens of what they thought they would be capable of, and they started telling me all the things I would never be able to do. Very early, I was conditioned to believe my voice did not matter, would not be listened to, would not be trusted.

Here is the reality I landed on the other side of nearly thirty years of daily physical pain, and about three and a half years now with none of it. All of us carry trash from our past. The emotional triggers, the behavioral patterns, the inherited conditioning that quietly writes our beliefs. And that trash is not your fault. It gets passed down. But it becomes your responsibility the second you become aware of it. That is true in how you treat the people around you. It is true in how you treat yourself. And it is just as true in how you use the tools in your world, AI included.

I actually started in the waste-to-wealth business at age eleven, with an old plastic pail I painted by hand and dragged around the neighborhood asking to pick up people's dog waste. I was turning waste into wealth before I had the words for it. And it is the same work I do now. Anything that does not add incremental value, anything that does not serve you, anything that is not additive is, by definition, waste. Pain becomes power. Trash becomes treasure. Waste becomes wealth. Today is not about adding more. It is about seeing, naming, and releasing.

Why I Avoided AI For A Long Time

I need to be honest with you. I avoided AI, and for a long time I was adamantly against it. Every one of my reasons was real.

When it first showed up, I watched people who could not clearly articulate a single thought suddenly releasing long-form content overnight, sounding like they had picked up an education fifteen grades higher than the one they finished. None of the language, none of the frameworks, none of the vernacular they had ever actually used. And you could tell in one line it was not them.

Then I watched the deeper thing. AI started blending everyone faster into the same crowd, because everyone was feeding it the same aggregate information. Make this email sound better. Write me the marketing copy. Nobody was protecting or directing it in a way that kept the unique value of the human producing it. So the whole field got more diluted, and everything started to sound the same.

I am a big believer that your voice is your most valuable asset. And here is the part almost nobody names: AI is the greatest confirmation bias that has ever existed. It agrees with you. It hands your own narrative right back to you, polished. So watch what people actually do with it. They use it as armor. They use it to project who they want the world to see, instead of reflecting who they really are. Projection looks like you. It is not you. Reflection is the mirror. It is the real thing, made clear. This has been my life's work for twenty-five years, armor to alignment, and AI will happily hand you more armor the second you ask for it.

Let me show you why the tool is a tool. Open ChatGPT specifically, start a fresh chat, and type: give me a random number between one and twenty-five. I have done this in a room of a thousand people, and ninety-five to ninety-eight percent of the hands go up with the same number. Seventeen. Here is why that happens, and it is the whole point. Seventeen is not actually random. It is the number humans reach for more than any other when we are asked to pick a random one, because it just feels the most random to us. The model learned that bias from us, from all the aggregate human data it was trained on, and it hands our own pattern right back. One caveat worth naming: this exact result is specific to ChatGPT. Other tools carry their own defaults and their own tells, so the same prompt somewhere else may land on a different number. Now change one thing. Tell it you are a lifelong Michael Jordan fan, then ask again. The number becomes twenty-three, because twenty-three was his number, and the moment you prime that context it becomes the most probable answer. That is not intelligence. It is reflection. It is the tool handing back the patterns we fed it, which is exactly why I call it the greatest confirmation bias that has ever existed. And the moment you treat it like intelligence, you hand it the wheel.

So I was not wrong about the risk. I was wrong about the order. Reach for the tool first and every one of those risks comes true. You flatten your voice, you build more armor, you amplify the mess. Do the human work first, capture the real voice first, and those exact same risks flip into their opposite. It was never that AI is safe, or that AI is dangerous. It is dangerous in the wrong order and powerful in the right one.

The Turn: AI Became My Greatest Trojan Horse

A friend challenged me. He said, before you dismiss this, go type one thing: do you know Brian Bogert? At that point I had spent years building a brand, thousands of podcast episodes, a lot of content. My brand was established, which meant the AI systems could actually read it and represent who I am with real accuracy. Compare that to someone building their brand with AI from scratch, with no clarity and no foundation underneath. They are producing the same content, the same branding, the same philosophies as everyone else, at the same time. Nobody stands out that way.

Once I captured the voice and tone piece, everything changed. Within a month or two, other founders were asking me how I did it. So I built a twenty-five point voice, tone, and methodology analysis, trained on decades of my own client recordings, that could pull out how I actually teach and reflect it back. And that is when I understood the reframe. AI became my greatest Trojan horse. It gets instant attention and instant value, and it gets me in the door. But the human work always has to come first. Always.

I proved it on my own business before I ever sold it to anyone. Over about six months, working part time, we rebuilt how our company runs and replaced more than six thousand hours of annual human work with tools and automations we built inside our own ecosystem. They protect our data. They protect our voice. They do not train outside models. They run with zero error, predictably, whether or not anyone is at the desk. That was the moment the whole framework clicked.

The Four Kinds Of Waste Hiding In Your Business

Let me name something before you touch a single tool. You are not too busy because you are undisciplined. You are unaware of most of the patterns creating waste in your world, and that, again, is not your fault. But it is worth your attention, because most people think they have a time problem. They do not. They have a waste problem. And once I show you these four, you will not be able to unsee them.

One quick note before I do. I always remove shame and blame first, because the second shame and blame exist, growth and opportunity go out the window. That includes the word that starts with an "s" and ends in shame. It applies a judgment that whoever you are and whatever you did is not good enough. I would ask you to catch it and reframe it every time.

• ▸Repetition waste. The same task, over and over, by hand. If you have written your bio more than ten times, or answered the same message pattern fifteen times, you know exactly what I mean. That is screaming for a template or an automation.
• ▸Context-switching waste. Research says it takes about twenty-three minutes to regain deep focus after a single interruption. For a writer, a speaker, a coach, the emails and calls and pings drain more than almost anything else.
• ▸Decision waste. Hundreds of tiny decisions before lunch. What do I post, how do I answer this inquiry, where does this go. The one decision that actually moves your mission gets the leftovers.
• ▸Human-for-workflow waste. You doing work that belongs to a system. Saving and renaming files, moving things between tools, being used as a router. That is not your gift, and honestly, nobody wants that work, even the person you pay to do it.

Here is the rule. If you bolt AI onto a broken process you have not fixed, you are operating from a place that lacks clarity, and all you do is make the mess faster. I am a big believer that you eliminate the waste first, then simplify the process, then automate what is left. Waste first. Tools last.

And one caveat you will hear me repeat: I do not build full automation that goes external with no human in it. Ever. There is always a human review, a human approval, a human edit step. You can have predictability and consistency in these tools without trusting them implicitly.

The Time Compression Method: Capture, Compress, Compound

Three moves, every time, in this order. Skip one and the whole thing wobbles.

Capture is awareness. No different than the human work. If you are unaware of something, you cannot be intentional with it. You name what is already there, your voice, your story, your waste. You cannot amplify what you have not named.

Compress is ownership. Eliminate the waste, simplify what is left, and only then automate. Waste first, tools last.

Compound is leverage. Each system stacks on the one before it, and it gets more efficient every time. That is how we got those six thousand hours back, and how we replaced seven separate pieces of software by building exactly what we needed instead of renting what we did not. Ask yourself: what software have you ever bought and used one hundred percent of? All the features, all the bells. I would bet you have never used more than fifteen percent, because they build for the masses, not for you.

What This Looks Like In The Real World

Let me make it concrete. I recently partnered with a speaker and author who, like the people I most love working with, uses her voice, her story, and her impact for everything she does. We did a significant overhaul of her digital footprint. But it always starts with the voice.

We took roughly half a million of her own words, from podcasts, spoken conversations, mastermind sessions, and keynotes, and ran them through our master voice profile process. It captures the language she uses, her rhythm and delivery, her emotional architecture, how she builds trust, the stories she returns to, and how we position her. There is a fact-checking pass before anything reaches her. On the second day of the engagement she asked how we got all of it so quickly and so accurately. On the first preview page, before we were even live, she started crying, because she said it was the first time anyone had captured and represented who she truly is. That is what happens when the tech build starts with the human.

From that foundation, the tools get interesting. Her podcast has three hundred episodes, and every transcript is full of gold. So we turned the whole library into its own search engine, right on her site. Search a phrase and it pulls the exact episodes, the timestamps, who said it, with a play button in place. Ask a real question instead of a keyword, and it answers in her voice, then points you to the source. We built a content engine driven by ten specialized agents that takes a talk transcript and turns it into a finished article. It scores the draft against her voice, produces the best of two or three versions, scrubs the AI tells, bakes in the SEO and answer-engine schema, generates the cover art, and holds for her review before it publishes. There is a self-maintaining events widget, an answer-engine optimization pass she can run on any historical post, and a system that feeds off her podcast RSS, re-transcribes each episode, and builds a clean, searchable episode page automatically. That last one replaced a task her team used to do by hand for every single release.

Here is the line that matters most. AI did not replace her. It let more people hear her. The technology carries the message further. The human stays the message.

Three Layers Of Leverage

You do not need the whole system to start. You need one layer, pointed at one kind of waste.

• ▸Layer one: prompts. Free, today. Talk into your phone for ninety seconds, grab the transcript, and turn it into a newsletter draft. Will it be as voice-calibrated as a full build? No. Will it be better than asking the tool to write from nothing? Every time.
• ▸Layer two: custom assistants. Now you bake your voice into a scoped tool trained on you, so it does one job on brand, over and over.
• ▸Layer three: full systems. Bespoke, built once, compounding over time. The exact tool you need, not thirty percent of someone else's.

Stop Treating AI Like A Search Box

If you change one habit today, change this. Four moves, same tool everyone else has, completely different outcome.

• ▸Voice it. Vocalize your prompts instead of typing them. You will give it far more context, and context is what it is starving for.
• ▸Set the role. Tell it who to be, and the parameters and boundaries it works inside, up front.
• ▸Demand questions back. Have it confirm its understanding, or challenge you. Ask what it needs from you to do the job well before it writes a word.
• ▸Lock the plan. Build and confirm the plan first, then let it execute, then have it validate against that plan.

Do that in any AI tool today and your outputs get infinitely better, because almost nobody does it as a discipline.

The Only Question That Matters

The greatest lesson my dad ever taught me is that no matter what, you always have a minimum of two choices, because not making a choice is a choice too. You can choose the change you want, while things are still good, or you can be forced to change later, when you have no choice left. The power is in the choice, and we only run out of choices when we stop asking questions.

So ask better ones. What am I protecting that no longer serves me? Where am I adding effort without adding value? What part of my message deserves to reach more people than I can reach alone?

I am a big believer that architects will never be replaced. Doers will. What makes you unique is not the universal truth you teach, it is the language and the lived experience that let your words reach someone the way no one else's can. Blending into the crowd sets your greatest asset aside. So architect the way you operate, and use this one calibration question as your daily practice: are my words, actions, and behaviors taking me closer to who I am and what I am building, or further away?

That is the whole thing. AI is an amplifier. Make sure what you feed it is worth multiplying. Then go multiply it.