The trap: hiring a genius who doesn't know your way
AI can finish the task and still miss the thing that makes your work yours.
The code works, but nobody can maintain it. The proposal says the right things in the wrong order. The strategy follows generic best practices while ignoring the lesson you learned the expensive way five years ago.
That's what happens when AI knows the task but doesn't know your judgment. You don't need a smarter answer machine. You need to get the way you think out of your head and into a form your AI employee can use.
Your scars are part of the system
Every experienced CEO has a private operating system. You know which warning sign matters. You know which shortcut always creates a mess later. You know when the textbook answer won't survive contact with a real customer.
Most of that knowledge never made it into a manual. It lives in your corrections, your stories, the examples you point to, and the sentence that starts with, "I learned this the hard way."
You bled to learn those lessons. That's your perspective. That's what makes your product, your leadership, and your work different. Cloning your thinking means codifying those patterns so AI can apply them when you aren't sitting beside it.
Don't dump documents. Let it interview you.
The fastest move isn't uploading a messy folder and hoping the model finds your philosophy hiding between two old PDFs. Give it one narrow domain, then let it interview you about how you make decisions inside that domain.
The interview matters because your judgment often appears only when somebody asks the second question. "What do you do?" gets the process. "How do you know when to break that process?" gets the thinking.
The judgment-extraction prompt
I want to teach you how I think about [DOMAIN], not just what steps I take. Interview me to uncover the standards I use, the tradeoffs I make, the warning signs I notice, the exceptions I allow, and the lessons I learned the hard way. Ask one question at a time and keep digging when an answer sounds generic. Use real examples whenever possible. When you understand my judgment, turn it into a reusable instruction file that another AI employee could follow. Before finalizing it, show me where my rules conflict or where your understanding is still thin.
Turn corrections into permanent training
When the AI gives you something that feels wrong, don't quietly rewrite it. Tell it why you rejected the choice. Ask it to name the rule hiding inside your correction, then add that rule to the instruction file.
- 1Give it one real taskChoose work where your judgment changes the outcome.
- 2Explain the correctionName what felt wrong, what you would've done, and why.
- 3Save the lessonTurn the correction into a reusable standard with an example.
- 4Test it againGive it a fresh case and see whether it applies the rule without being reminded.
The Lego-brick test
A developer in the room gave us the cleanest proof. Generic AI code often works once and breaks the moment somebody changes it. He trained Claude on his standards: maintainability, graceful failure, reusability, and the right size for each Lego brick of functionality.
Now Claude generates applications the way he would build them, in a form he or a junior developer can maintain. The output carries years of earned judgment because he documented the way he thinks, not merely the syntax he types.
The same move works for proposals, hiring, marketing, customer service, operations, and leadership. Pick the domain where people keep saying, "Only you know how to do this," and start there.
The model is electricity. Your thinking is the asset.
Claude, Codex, ChatGPT, and whatever arrives next are electricity. The source can change. Your operating system should survive the switch.
Keep your standards, examples, role descriptions, and instruction files in your own workspace. Then the next model can load the same judgment instead of forcing you to retrain from zero. The model isn't the moat. Your lived perspective, made usable, is.
Your homework
Choose one narrow domain where your judgment matters. Paste the interview prompt, answer out loud, and let AI turn the conversation into one reusable instruction file. Then give it a real task, correct one decision, and make it save the lesson. Bring the before-and-after result to the next session.