The Taxonomy of Expertise

In the Army National Guard, my unit commander once noted that 13 years of musicianship mattered less to the mission than the 40 minutes I spent fixing a broken logistics spreadsheet. That moment stayed with me because it highlighted the gap between what we value in ourselves and what the world is actually willing to trade for. When you have spent fifteen years in a domain—whether that is jazz guitar, military logistics, or software engineering—you accumulate a massive library of "silent knowledge." The challenge in building a product is that most of that library is worthless to a stranger.

To turn expertise into an offer, you have to move past the ego of the practitioner. You aren't selling your biography; you are selling a shortcut. People don't pay for the fifteen years you spent learning; they pay to avoid spending fifteen years themselves.

The Inventory of Invisible Skills

Most experts try to productize their "main thing." The guitarist tries to sell a "How to Play Guitar" course. The developer tries to sell "How to Code." These are commodity markets where you are competing on price against giants. The real value usually sits in the "boring" sub-skills you developed to survive your career.

I learned the hard way that my ability to play a complex chord progression was less marketable than my ability to organize a rehearsal schedule for twenty distracted musicians. One is a performance; the other is a system. When you look back at your last decade of work, look for the things you do "on the way" to the main task.

Ask yourself:

• What is the one task colleagues always ask you to "just handle" because it’s a headache for them?
• What part of your job feels like common sense to you but looks like magic or misery to an outsider?
• Where do you have a "taste" or "judgment" that prevents expensive mistakes?

These are the nodes of your expertise that can actually be packaged. If it can be documented as a repeatable process, it can be a product.

The Index of Friction

A common mistake is building for a problem that people talk about but don't pay to fix. There is a specific "Index of Friction" that determines if expertise can become an offer. You are looking for a intersection of high frequency and high frustration.

If a problem happens once a year, no one wants a software product for it—they’ll just hire a consultant for an hour or suffer through it. If a problem happens every day but only takes ten seconds to solve, there isn't enough friction to justify a purchase. You are looking for the "middle-distance" problems: things that happen weekly or monthly, take hours of manual effort, and carry a high emotional or financial cost if they go wrong.

In my own work with Total Ventures, I look for these gaps. When I built the infrastructure for The F1 Formula, I wasn't just looking at racing data; I was looking at the friction fans felt trying to keep up with a complex, global sport in real-time. The expertise wasn't just "knowing F1"—it was knowing how to filter the noise so a busy person could feel like an expert in five minutes.

Validating the Artifact Before the Code

Before I write a single line of code or design a landing page, I test the expertise as an artifact. An artifact is a low-fidelity version of the final product—a spreadsheet, a PDF checklist, a Notion template, or a Loom recording of a manual process.

If you can't sell a $50 PDF that solves a specific problem, you will not be able to sell a $500 software subscription that solves the same problem. The artifact proves that the "logic" of your expertise holds water.

I prefer working in public during this phase. I’ll share a screenshot of a logic flow or a specific result I achieved using a new internal system. The goal isn't to get "likes," but to see if people ask, "How did you do that?" or "Can I buy that template?" If the response is silence, the expertise hasn't found its market yet. If the response is a request for the "how," you have found the seed of an offer.

Building the Machine Around the Logic

Once the logic is validated, the final step is moving from a service to a system. This is where agentic engineering changes the math. In the old model, productizing expertise meant hiring a team to build the software or spending years as a solo coder.

Now, the "machine" is the moat. I use ShadowBrain—my internal operating system—to handle the heavy lifting of research, monitoring, and deployment. This allows me to keep the studio lean. The software becomes a wrapper for my judgment.

When you build this way, you aren't just a founder; you are an owner. You own the intellectual property (the expertise), the delivery mechanism (the software), and the leverage (the agents). This structure allows one person to run a portfolio of brands without burning out.

The transition from expert to owner happens the moment you stop selling your time and start selling the output of your systems. It requires a willingness to be "plain" about what you know and direct about the value it provides.

The market doesn't care about the depth of your library; it cares about the speed of the answer.