I have ChatGPT, I want real leverage
Most CEOs who say "I use AI" mean: they open the chat tab, type a question, copy the answer, close the tab. That's a calculator with a friendlier interface. It saves minutes. It doesn't compound. The gap between the calculator users and the operators is the gap between asking AI a question and giving AI a job that runs while you sleep.
This path walks the bridge from the chat tab to the workflow. Each step swaps one calculator habit for one piece of infrastructure that pays you back every week from then on. The five workflows here are deliberately small. The point isn't ambition. The point is that by step five, the question "what should I install next?" answers itself, because you'll feel where the leverage hides.
About twelve hours including the install + first-run time for each workflow.
What you'll have when you're done
- A meeting capture pipeline producing markdown notes Claude can read.
- Claude holding context across sessions so it actually learns your business.
- The ability to ask "what did anyone tell me about X across all my meetings this quarter?" and get a real answer.
- A commitment ledger tracking every promise made by you and to you, with automatic follow-ups.
- A weekly team-and-investor update writing itself from the meeting record.
Unlock the path
Operators get the connective prose for every step · why it's here, what to look for, what you'll have when you finish. Plus everything else inside: the courses, the templates, the community, the workshops.
The path
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1Granola → markdown: the foundation everyone's missingRead it →
You can't compound on transcripts trapped in someone else's app. Step one is to land every meeting transcript as a markdown file in a folder your other tools can read. This is the boring, non-glamorous, foundational move that almost every chat-tab user skips · and it's the reason their AI never gets smarter than their last prompt.
After this you'll have a folder of meeting notes that everything downstream can search.
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2Persistent memory across Claude Code sessionsRead it →
ChatGPT forgets you between sessions. That's not a bug, it's a category. To get real leverage you need a Claude install that holds context: who your COO is, what your Q3 priorities are, what you decided about the pricing change two weeks ago. This workflow shows you how to set up persistent memory across Claude Code sessions so the tool stops being a stranger.
After this you'll have a Claude install that compounds rather than resets.
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3Ask your meeting history anything: the CEO's query layerRead it →
This is where the chat-tab people fall behind. With your transcripts in markdown and Claude holding context, you can now ask questions of your own history: "what did the head of sales say about the enterprise pipeline in March?" or "what objections came up across every founder call last week?" The query layer is the moment AI stops being a calculator and starts being an analyst.
After this you'll have a query layer over your own meetings · the thing every CEO wants and almost nobody has.
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4The commitment ledger: every promise you made (or made to you) trackedRead it →
Now the layer that catches what your brain misses. Every meeting generates promises · ones you made, ones made to you. The commitment ledger workflow logs them automatically and surfaces them when they're overdue. This is the workflow that pays for itself the first time it catches a slip you would have missed.
After this you'll have a system tracking every commitment in flight, with follow-ups that fire on their own.
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5Weekly team and investor updates, generated from your meetingsRead it →
The last step turns the foundation into recurring output. Once Claude has the transcripts, the memory, the query layer, and the commitments, generating a weekly team update or investor note is mechanical: ask, edit, send. The thing that used to take ninety minutes of memory-juggling now takes ten minutes of editing.
After this you'll have one piece of regular output you used to dread · now writing itself.
What's next
The natural next commitment is 30 Days to Real AI Leverage (Course #1) for a deeper walk through the install. If you'd rather go wider before you go deeper, try Building my first agent to layer autonomous routines on top of the workflows you just installed.