Your most valuable asset is invisible.
That instinctive decision you just made? The one based on two decades of hard-won experience? It’s worth a fortune. But right now, it lives only in your head, impossible to scale, teach, or even explain to a client.
What if you could extract that genius and turn it into a repeatable, sellable framework—in minutes?
This is what most experts miss: having expertise and being recognised as an authority are different things. Recognised authorities have a system. This post will show you how to use AI to find yours.
A few minutes with AI can help you codify your implicit knowledge into shareable, repeatable frameworks. That’s a win for you, your team, your AI tools, and your sanity.
Here’s what you’ll learn:
- The 15-Minute Framework Extraction: How to use AI to codify a process you’ve been unconsciously refining for years.
- Your Personal Story Database: A simple method for turning your “war stories” into a searchable library of client-ready case studies.
- From ‘Gut Feel’ to ‘Proven System’: The exact prompts to turn your implicit knowledge into a methodology you can teach, scale, and sell.
By the end, you’ll have clear next steps to capture years of learning in under an hour.
The Hidden Value in Your Head
Think about your last major decision at work. You probably weighed factors, applied unwritten rules, and drew on past experiences within seconds. That’s expertise worth thousands.
A marketing consultant I know spent 6 months developing her content strategy framework through trial and error. When she fed her email exchanges and presentation slides into ChatGPT, it extracted her complete decision-making process in 12 minutes. The same framework she’d unconsciously built over years of campaign successes and failures.
This is important because pattern recognition is what AI does best. It can spot the consistent threads in your work that even you might not consciously recognise.
Your First 15-Minute Extraction
Don’t try to codify your entire brain at once. Start with one, small, repeatable task you do from muscle memory. For me, it was writing a proposal. For you, it might be onboarding a client or diagnosing a problem.
Here’s the process:
- Find the Raw Data: Grab the last three emails, call transcripts, or documents related to this one task.
- Feed it to the AI: Paste the text into ChatGPT, Gemini, or Claude.
- Use This Prompt: “Analyse this content. I am an expert who performs this task regularly. Based only on the text provided, extract a step-by-step checklist or a simple decision-making framework that I appear to be using.”
The result? A documented process you’ve been unconsciously refining for years. This isn’t just a time-saver – it is a first step to scaling your thinking.
What would normally take weeks of observation and documentation happened in 15 minutes.
From Checklists to Strategic Frameworks
Once you’ve extracted a simple checklist, you can move on to your bigger, strategic thinking patterns.
This is about codifying the core principles that guide your high-level work.
This is where purpose-built tools shine. Instead of just pasting text into a chatbot, use tools that can analyse your entire body of work:
Use NotebookLM-style Models
Upload your last two years of client reports, proposals, and blog posts. Ask it:
- “What are my top 3 recurring strategic principles?” or
- “Create a decision tree for how I approach [common client problem].”
This is how you discover the five-step methodology you’ve been using for 15 years without realising it.
Build a Custom GPT “Brain”
Once you have your frameworks, embed them into a Custom GPT.
Feed it your checklists, decision trees, and voice profile.
You are now building an AI assistant that doesn’t just write like you; it thinks like you.
It can apply your proprietary frameworks consistently, giving you a massive leverage point for your team and your own work.
Extract Stories and Examples
Your war stories contain decades of learning. Companies spend fortunes on case study development, yet your personal experiences often provide richer insights.
Rather than hunting through old content, upload materials into NotebookLM or paste transcripts into ChatGPT with this request: “identify three personal stories that illustrate leadership lessons”. You’ll end up with:
- A searchable database of anecdotes
- Associated business concepts
- Ready-to-use narrative templates
A client recently discovered 7 distinct customer scenarios in her email history – insights that would have cost tens of thousands in market research. AI found them in her existing communications within an hour.
“It Takes Too Long”
You might worry about spending hours on documentation.
The reality is that capturing your implicit knowledge will feel slow initially, since you’re on a learning curve. But when you see it working you’ll realise every second you spend doing this saves hours later.
You’re extracting value that took years to develop. The alternative is reinventing your methodology every time you take on similar work, or struggling to explain your approach to clients who want to understand your process.
To ease in:
- Start with tasks you already record (calls, emails)
- Use AI summarisation instead of manual notes
- Review and refine monthly
This morning, I spent 10 minutes uploading client calls to NotebookLM. It extracted key insights and methodology – a process I’d refined over the past 2 years of challenging AI projects. I used that to quickly build a CustomGPT that is trained on this methodology and approach.
Now my human assistant can kickstart projects and handle many issues using the CustomGPT I built with this framework, freeing me up for more valuable work.
Use the Right Tools
To recap, here are some types of tools that help form your expertise extraction stack:
- Audio to Text transcription tools like Otter.ai, and notetaking tools like Fathom.video, can help turn your conversations into text for AI processing.
- Custom GPTs embed your voice and methods into chat assistants. Feed them your communication style, decision criteria, and preferred approaches. They’ll respond like a version of you that never gets tired.
- NotebookLM-style models excel at finding patterns across large amounts of content. Upload months of emails, presentations, and documents. Get instant frameworks, decision trees, and process maps.
- Advanced (but incredibly useful) version control tools like Git provide transparent change logs. You always see what AI suggested and can prevent “drift” in your frameworks.
You’re not just creating documentation here – you are scaling your thinking across time and people.
Your Next Move
Years of expertise live in your existing communications, documents, and recorded calls. AI can extract patterns you’ve unconsciously developed through thousands of decisions and interactions.
The frameworks sitting in your head right now are worth more than most people’s annual salary. Companies pay consultants vast sums to develop what you already know.
Pick one area of expertise today. Upload existing materials to your chosen AI tool. Ask it to identify decision criteria, process steps, or recurring patterns.
What took you years to learn can be documented in minutes. What’s the first expertise area you’ll extract?
Start now. Your future self – and your team – will thank you.
Need help? Let’s schedule a Co-Builder session where I’ll spend 90 minutes building out a system like this for you – you’ll walk away with a new working system and upskill your AI knowledge.
