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Productize the Thing You Keep Explaining

If you catch yourself explaining the same framework for the tenth time, that repetition is a signal — encode the expertise once into something reusable, because your calendar is capped and a well-built artifact isn't.

  • Consulting
  • Automation
  • Knowledge Management
  • AI Agents

The tenth time you explain the same thing, you should feel a little alarm go off. Not because explaining is bad, but because repetition is information: it’s telling you that a piece of your expertise is valuable, reusable, and currently trapped inside your head, where it only helps one person at a time and only when you’re available. That trapped knowledge is a productization opportunity. The move is to encode it once — into a framework, a template, a checklist, a small tool, or an agent that applies it — so its value is available without you in the room.

Repetition is the signal

You can’t productize everything, and you shouldn’t try. The things worth encoding announce themselves by recurrence: the same walkthrough you give every new hire, the same analysis you redo every month, the same decision framework you apply to a class of problem, the same “here’s how to think about this” you deliver in meeting after meeting. When you’re doing something for the nth time and n keeps climbing, you’ve found a candidate.

The work you explain most often is the work most worth turning into something that explains itself. Boredom is a business signal.

The instinct to just power through it again is the expensive one. Each repetition is your scarcest resource — attention and time — spent reproducing something you already figured out. Encoding it is the one-time cost that stops the bleed.

Your calendar is the cap; a product isn’t

The reason this matters beyond convenience is arithmetic. If your knowledge is delivered by you being present — in a meeting, on a call, at a keyboard — then its reach is bounded by how many hours you have. You can only be in so many rooms. That’s a hard ceiling, and no amount of hustle raises it much.

Encode the expertise into an artifact and the ceiling moves. A documented framework can be read by a hundred people while you sleep. A template applies your judgment to a situation you’re not present for. A tool runs your process on demand. An agent equipped with your encoded knowledge can walk someone through the analysis you’d have walked them through, without you. You’ve changed what you’re offering from your time to a system that carries your thinking — and the system doesn’t have a calendar.

Encode the judgment, not just the steps

Here’s the part that separates a useful product from a checklist that gives confidently wrong answers: the value isn’t the steps, it’s the judgment. Anyone can write down “do A, then B, then C.” What makes your expertise worth something is knowing when C is a trap, what the common mistakes are, how to read the edge cases, and what a good outcome actually looks like. If you encode only the happy-path steps, you’ve productized the easy 10% and left out the part people were actually paying for.

So the encoded version has to carry the “here’s where people go wrong,” the worked examples, the “if you see X, it probably means Y.” That’s the hard, slow part of writing it down — and it’s the whole point. A framework without the judgment is a script that produces plausible nonsense in the situations that matter most.

Be honest about what an encoding can’t do

The caveat I hold firmly: an encoded framework, even one an agent applies, is not a perfect stand-in for a human expert, and pretending otherwise is how you ship bad advice at scale. The encoding is as good as the judgment you managed to capture, and there will be situations it doesn’t cover, gets subtly wrong, or applies too mechanically. And when it’s wrong, you own that — your name is on the system.

So the sensible shape keeps a human on the consequential calls. Let the encoded expertise do the volume — the routine application, the first pass, the “here’s the standard analysis” — and route the genuinely high-stakes or ambiguous cases to a person. That’s the same automate-the-gathering-not-the-judgment line I draw everywhere: encode the repeatable reasoning, keep the human for the decisions that need context the system doesn’t have.

Start with one framework and an afternoon

The gap between “I explain this constantly” and “this is a product” is smaller than it looks. You don’t need a platform. You need to take one framework you keep repeating and write it down properly — steps, judgment, mistakes, examples — in a form something else can read and apply. That’s an afternoon, and it’s the same discipline as saving your prompts because they’re tools and building a knowledge system that compounds: capture the thing once, well, and let it work without you. It’s a lot of what my AI automation lab is really about — turning “the thing I keep explaining” into “the thing that explains itself.” If you’ve got a framework you’re tired of repeating and want to think through how to encode it, I’m easy to reach.