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I am an operator and a builder. I co-founded OpenExO with Salim Ismail, taught at Singularity University from 2013, and build Founder OS, an AI operating system for business owners. I write about AI leverage and operational architecture, and my book Founder Scaled is the playbook for building a business worth buying, even if you never sell.
This week on YouTube
The latest from the channel: one longer piece on making AI work inside a real business, plus the five newest shorts. New ones land most days at @kent.langley.
Founder OS
You built a real business. Revenue, customers, a team that works. And the strengths that built it are now the constraints that limit it, because too much of the operating model still lives in your head.
Founder OS installs that operating model as a working system: 72 operational skills across eight domains, wired into Claude, personalized to your company, and yours to keep. Installed leverage, not another tool to manage.
The weekly lab where business owners put AI to work in the way their companies actually run.
The global community and platform for Exponential Organizations, co-founded with Salim Ismail.
A newsletter on AI, leverage, and how operators actually put both to work. New essays land here first.
The AI-powered playbook for building a business worth buying, even if you never sell. A 24-month path to a business that runs without you.
On AI leverage and operational architecture. The full archive is on the blog, with search.
Everybody is calling everything an agent now. The word has stopped carrying information. Agency comes from five dials you install around a model, and you turn them one at a time.
AI collapsed software engineering, product, and design into one circle. The person you want to hire stands dead center. Screen for traits instead of titles, test with projects instead of interviews, and build the few.
You can recite the token bill. You cannot see what it returned. Here is the half nobody publishes, and how to put a number on it this quarter.
Open weights, read for an operator. The move is not picking the smartest model. It is mastering the mix: route each job to the model that wins it, closed frontier for the hard fifth, open weights for the rest, on terms you own.
AI job panic set against ten thousand years of technology waves, from the cooking fire to the switchboard. The catch the cheerful version hides: the aggregate recovers, but the displaced cohort often does not. Two questions, not one, and a source behind every claim.
Data is not the asset. Context is: data your AI can both reach and trust. Why capability is rented, context is owned, and the moat is elapsed time.
The AI-Powered Playbook for Building a Business Worth Buying, Even If You Never Sell.
For founders of $5M to $25M businesses who have become the bottleneck. A 24-month path to systematize your expertise, deploy AI to amplify your people instead of replacing them, and reduce your dependency until you own a business worth buying, whether or not you ever sell.
The writing, the newsletter, and the rest of where I show up.
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A newsletter on AI, leverage, and how operators put both to work. No spam, no filler.