Operating by John Brewton: Operating Habits

AI Founder Mode Means Hiring Micro-CEOs

John Brewton — Mon, 25 May 2026 11:27:38 GMT

TL → DR

Brian Chesky named founder mode after losing control of a 7,000-person Airbnb and clawing it back through 35 hours of meetings a week. He now sees the next version, AI founder mode. Meetings were only a workaround for an information problem, and AI removes it. Management layers collapse toward four. The real shift is who you hire: stop hiring polished people managers, start hiring micro-CEOs, people biased toward execution who own outcomes and run agents. The founder's hours move from meetings to building workflows. Get the hire wrong and the company dies faster than before.

What is Founder Mode?

Brian Chesky made founder mode a public idea after Paul Graham coined the term. In a recent interview, he went further. He described what comes next and called it AI founder mode. He has not finished working it out. But its shape is already clear enough to act on, and the version that matters most is not the one running inside a 5,000-person company. It is the version for the founder with 600, 60, or 6 people.

Start with what founder mode actually solved:

By 2019 Chesky ran 7,000 employees and could not turn the company. He described feeling as if he were in a car without a steering wheel.
He had over-delegated to professional managers and was being managed instead of managing.
The pandemic cut revenue by 80% in eight weeks and forced the correction. He took control, worked 100-hour weeks for two to three years, and reviewed every detail of the business.
Chesky bought visibility with meetings. He ran about 35 hours of meetings a week, group meetings only, no one-on-ones, the full chain of command in the room.
He reviewed everything weekly, biweekly, monthly, or quarterly.
He spoke last and ratified every decision.

Founder mode was a workaround for an information problem. A founder who cannot see the company pays for that sight in calendar time.

How Does AI Change Founder Mode?

Chesky said AI founder mode means even more detail, because the information is available on demand. The meeting was never the value driver. It was the toll the founder paid to know what was happening. When the work itself becomes legible without a meeting, the toll drops to near zero. He expects the culture to move from meeting-based to asynchronous, the layers of management to shrink toward the four that the Catholic Church has run on for 2,000 years, and every job to change. His hard line: pure people managers do not survive.

Everyone becomes a hybrid manager and individual contributor with what he calls contact with reality. An engineering manager still codes. A lawyer who manages still reads case law.

Chesky is not forecasting theoreticallyically. Harvard Business Review and MIT Sloan Management Review have spent 2026 documenting the same shift, and large companies are already collapsing their org charts. Bayer cut its management layers from roughly twelve to six and removed close to 5,500 roles, most of them in management.

The direction is set. The open question is what replaces the layers.

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Operator Perspective

Here is what I see from inside my advisory work at 6AEP.

The traditional founder problem has always been the same:

The founder starts with the minutiae and the details. The challenge is to get out of it and delegate to a team. Some founders never make the delegation happen. They hire very high-quality people and then do not give them enough autonomy. Those good people leave. The only thing that keeps them is the company being wildly successful, and most companies are not.

AI founder mode does not remove the delegation problem. It moves it. The delegation still has to happen, but a large part of it now happens digitally, across agents and platforms. It is embedded in the founder's relationship with the technology. The founder is not just handing off the tasks that the technology now does on its own. The founder is delegating to humans, and the management of those humans is now mostly about one thing…understanding the level of individual productivity achievable and the quality of the direction the human team is giving to the tech.

That changes who is worth hiring.

The person who is an excellent people manager and relationship builder is worth less than they used to be. A founder needs someone more technically capable. Someone who can think across multiple departments and build out the agents, the applications, and the execution layer that gets the work of those departments done. The way I have started to see it is that the founder or CEO wants to hire teams of micro-CEOs. People who think strategically across the whole business, who carry real ownership, and who have a bias toward action and outcomes that a founder has.

Harvard Business Review reached a version of the same conclusion. In February 2026, it argued that the AI era needs a new role, it calls the agent manager, the way the software era produced the product manager. Here’s one version using my thinking. The micro-CEO is the ceiling. The agent manager runs the agents. The micro-CEO owns the outcome. And in some orgs, the Micro-CEO and the agent manager will absolutely be one person overseeing multiple divisions or departments.

This shift necessarily changes the hiring signal. It makes it more of a matter of the candidate's industrial psychology:

You want people heavily biased toward execution.
You want people who have actually created outcomes, not described them.
You want technical know-how across multiple departments.
You do not just want leaders.
You do not just want people with a lot of education.
You want enough education and enough smarts, paired with a heavy bias toward having been in the execution of a company’s work, not only its management.

Look hard at personality and at how a person thinks about their life. I tell founders to stay far away from anyone whose first concern is work-life balance. The green flag used to be the polished manager who builds relationships. That is now a red flag.

The founder’s own day changes as well. A majority of the founders’ hours should go to building better workflows. The founder uses agents and technology to create workflows that get every department's work done. Better customer experience. A better product in the customer’s hands. Fires are put out faster for customers. Faster prototyping. The needs vary by company, but the work is the same shape. The founder builds the workflow, shares it with the team, manages it, and measures its execution against the business's growth goals. The meeting was where the old founder spent the hours. The workflow is where the new founder spends them.

MIT Sloan Management Review made the same point in plainer terms. Its researchers found that AI does not create productivity on its own. The gain comes from redesigning the work. Companies that deploy AI tools on top of old workflows get almost nothing for the spend. The founder who treats AI as a tool to buy will lose to the founder who treats it as a company to rebuild.

Get this wrong and the cost is real. The founder makes the old hire, the meeting-centric people manager. That person is expensive and not productive enough. Worse, that person recommends the company take on too many tools, too much software, too many technological assets, to run a people-management culture inside a company that should be built around outcomes.

The company fills up with meetings.

It stops moving fast.

It does not prototype fast enough.

It does not respond to customers fast enough.

It does not see the whole picture fast enough.

It does not innovate fast enough.

It does not grow fast enough.

The company dies.

The founder who does not understand this makes the hires that kills it.

There is a second way to get it wrong. In May 2026 Harvard Business Review published a large-scale experiment on companies that placed AI agents on the org chart and treated them like employees. The result was worse, not better. Treating the agents like people reduced individual accountability, raised unnecessary escalation, and lowered the quality of human review. The lesson holds the whole argument together. Delegation to agents is not abdication to agents. The founder and the micro-CEOs stay accountable for the work the agents produce. That is what contact with reality means.

The honest version of this is not complicated. Founder mode was about the founder staying close to the work when the company grew too large to see. AI founder mode is about who the founder builds the company with. The founder who understands that first will use it to build a company that stays small in headcount, strong in ownership, and close to the customer the whole way up.

- j -

Frequently Asked Questions (FAQ)

What is the difference between founder mode and AI founder mode?

Founder mode solved an information problem. A founder who could not see the company bought visibility with meetings. AI founder mode removes the information problem, because the work is legible on demand. The meetings go away. The detail does not.

Does AI founder mode only apply to large tech companies?

No. Chesky describes it from a company that already scaled to thousands of people. The sharper version is for the founder with 12 people. For a small team the value is the option to never build the management layers that detach a founder in the first place.

What is a micro-CEO?

A micro-CEO is a hire who thinks strategically across the whole business, carries real ownership, and holds a founder’s bias toward action and outcomes. They run the agents and own the result. They are not coordinators of other people’s work.

What kind of person should a founder hire now?

Hire for the psychological profile. You want a heavy bias toward execution, a record of creating real outcomes, and technical range across departments. Education and intelligence matter, but only when they are paired with execution experience.

Do pure people managers still have a place?

Less than before. The polished manager whose only output is other people’s output used to be a green flag. It is now a red flag. Everyone needs contact with reality. An engineering manager still codes. A lawyer who manages still reads case law.

What should the founder actually spend time on?

Building workflows. A majority of the founder’s hours should go to using agents and technology to design the workflows that produce better products and faster outcomes for customers. The meeting was where the old founder spent the hours. The workflow is where the new founder spends them.

What is the most common mistake?

Making the old hire. The meeting-centric people manager raises cost, sprawls tools, and fills the company with meetings. The company slows until it cannot prototype, respond, or grow. The wrong hire kills the company, and faster than it used to.

About the author

John Brewton documents the history and future of operating companies at Operating by John Brewton. He is a graduate of Harvard University and began his career as a PhD student in economics at the University of Chicago. After selling his family’s B2B industrial distribution company in 2021, he has been helping business owners, founders, and investors optimize their operations ever since. He is the founder of 6A East Partners, a research and advisory firm asking the question: What is the future of companies

Appendix: Links, Media, and Research

Primary Source

The founder mode and AI founder mode framework comes from a recorded interview with Brian Chesky, co-founder and CEO of Airbnb. The interview covers his industrial design training, the 2019 realization that the company had grown beyond his control, the move into founder mode during the pandemic, and his early thinking on what AI founder mode becomes.

The term itself comes from Paul Graham, who named it after a Chesky talk at Y Combinator.

Paul Graham. “Founder Mode.” paulgraham.com/foundermode.html

Research Cited

Harvard Business Review, February 2026. “To Thrive in the AI Era, Companies Need Agent Managers.” The argument that the AI era produces a new role, the agent manager, the way the software era produced the product manager. hbr.org
Harvard Business Review, May 2026. “Research: Why You Shouldn’t Treat AI Agents Like Employees.” A large-scale experiment finding that placing AI agents on the org chart as employees reduced accountability, raised escalation, and lowered review quality. hbr.org
MIT Sloan Management Review. “Agentic AI at Scale: Redefining Management for a Superhuman Workforce.” sloanreview.mit.edu
MIT Sloan Management Review. “Want AI-Driven Productivity? Redesign Work.” The finding that AI produces a return only when the work is redesigned around it. sloanreview.mit.edu
MIT Sloan Management Review. “Stop Deploying AI. Start Designing Intelligence.” The case against layering AI tools on top of old workflows. sloanreview.mit.edu

Supporting Data

Bayer’s management-layer reduction, from roughly twelve layers to six and the removal of close to 5,500 roles, is drawn from 2026 reporting on the company’s “Dynamic Shared Ownership” reorganization. It is cited here as a concrete example of the management-layer flattening that Harvard Business Review and MIT Sloan Management Review describe.

Starting Points: The Software We Built Our Companies On Was Never Built For Us

John Brewton — Thu, 02 Apr 2026 12:45:57 GMT

I used to write 3,000-word essays. Then I looked at the data. The average newsletter reader gives you 51 seconds. Even on Substack, most people scroll to about 65% depth on a long piece. So I’ve created Starting Points.
Each edition gives you a sharp thesis in a few sentences, two to three AI prompts built to interrogate that thesis, and a curated pack of the best articles I found on the topic.
Read it in 90 seconds. Take it to Claude, ChatGPT, Gemini, NotebookLM…

The creator market does not need more content explaining what AI can do. It needs clearer thinking about what AI changes. This edition is about the operating model most businesses are still running — and why the window to rebuild it from scratch has never been wider for smaller firms.

I write starting points. You build the rest.

— j —

Last week I watched an ERP software demo.

At step nine, the presenter said: “And then your ops lead simply reviews the exception report and makes the appropriate adjustment.”

Simply?

I’ve been in rooms like this for fifteen years. The word simply has never once described what actually happened.

The software we built businesses on for the last thirty years was never designed for the people running it. ERP, CRM, Excel, BI dashboards, approval workflows — these were elaborate intermediary systems built for computers that couldn’t yet do the work themselves. They structured the world so humans could perform tasks that machines lacked the intelligence to handle. Parsing context. Routing exceptions. Reconciling mismatched data across departments. Making judgment calls buried inside process flows.

The systems didn’t do the work.

They organized the workspace so humans could.

The AI era is dissolving that arrangement by removing the human from the loop where the human never belonged: procedural execution, data capture, pattern recognition at scale, and cross-system orchestration. The interface is no longer a set of screens that a human clicks through. The interface is intended.

My contrarian bet: The firms that win the next decade won’t be those with the most sophisticated tech stack. They’ll be the companies who rethink their operating architecture from first principles, before they bolt more AI features onto the same broken assumption.

The smallest firms can redesign fastest. That is not a consolation prize. In an era where structural advantage shifts from scale to speed of architectural adaptation, it is the opening.

Work with me directly.

You’ve read the framework. Most people stop there.

If you want to implement it — map your operating architecture, build your content system, design the AI-first workflows your business actually needs — this is how we do it together.

Three 1:1 strategic operating sessions with me.

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For decades, small operators looked to larger companies for operational guidance. There was logic in that. But the transfer was always imperfect. AI-first operations invert the dynamic entirely.

The very things that made large firms strong — layers of coordination, massive headcounts, deep process libraries — are now impediments. A $5 billion company cannot rearchitect its ERP overnight. A $15 million company can build a custom data model, deploy agents against its core workflows, and iterate in weeks. The World Economic Forum profiled AI-first startups in early 2026 running lean teams of fewer than ten people across hundreds of agents spanning full operational functions. The structural advantage is speed, proximity to real problems, and the absence of legacy process debt.

For decades, small operators looked to larger companies for operational guidance. There was logic in that. But the transfer was always imperfect. AI-first operations invert the dynamic entirely.

The question is what you build instead. Here are the ten principles.

1. Value streams, not departments: Design operations around end-to-end flows — lead to cash, procure to pay, ticket to resolution — not around the functional silos that make org charts tidy and decision-making slow.

2. Tasks, not software categories: Before selecting any tool, decompose your operations into discrete tasks: what is actually being done, what data does it require, what decision does it produce. Buy for the task. Not the category.

3. One canonical data model: A single governed source of truth for customers, transactions, and operations. Everything reads from it and writes to it. Twelve SaaS tools and thirty spreadsheets is not a data strategy. It is a liability.

4. Capture data at the source: If a conversation generates information, the system captures it in real time — not after a human logs it later. Post-meeting data entry is not a workflow. It is a gap waiting to fail.

5. Agents execute, humans judge: Assign procedural, repetitive, and pattern-recognition tasks to agents. Reserve human attention for exceptions, ambiguity, and relationship judgment. The human who reviews every step is a bottleneck. The human who judges what matters is an asset.

6. Operate on events, not reports: An agent that alerts you when pipeline velocity drops 15 percent on Tuesday is more useful than a dashboard you check on Friday. Shift from periodic review cycles to continuous, event-driven signals.

7. Encode your decision logic: Your policies, thresholds, escalation rules, and next-best-actions should live as explicit, executable logic — not as tribal knowledge in someone’s head or inconsistent calls across a team.

8. Buy commodity, build differentiation: Use off-the-shelf infrastructure for identity, payments, and communications. Build custom systems only around the workflows and data models that constitute your actual competitive advantage.

9. Minimize sprawl, maximize interoperability: Every tool in your stack should expose clean APIs. If a system cannot be queried or written to programmatically, it is a dead end. Eight tools duct-taped with manual exports is not a stack. It is a maintenance burden.

10. Govern through exceptions: Governance in an AI-first model is not approval chains. It is exception handling: defining what the system escalates to a human, maintaining a clear audit trail of agent actions, and building feedback loops so the system improves over time.

The question is what you build instead.

These are not software recommendations. They are design decisions. Before selecting any tool, decompose your operations into discrete tasks:

What is actually being done?
What data does it require?
What decision does it produce?

Then build around the answer, not around a software category.

Stop thinking in CRM. Stop thinking in ERP.

Start thinking in tasks, data, decisions, and loops.

Build from there.

Prompts to explore:

“Map your own business against the ten principles. For each one, rate your current state: 0 (fully legacy), 1 (in transition), or 2 (already AI-first). Where do you score lowest? What would it cost — in time, money, and process disruption — to move that specific principle from 0 to 2 in the next 90 days? Be specific about what changes and what you stop doing.”

→ Before you go further — take the free operating model evaluation:

The Operating Model Audit Quiz

Score your organization against the ten principles. Come back with your three lowest scores. The prompts below are built for that.

Paid subscribers get the full prompt pack for this edition — the workflow redesign prompt, the evaluation-linked diagnostic, and the complete reading pack with NotebookLM instructions.

Here’s the prompt one preview:

“Using principles 1, 2, and 5 — value streams, task decomposition, and agents-execute-humans-judge — redesign one end-to-end workflow in your business from scratch. Describe the workflow as it exists today, then rebuild it from first principles. Be specific about what an agent handles, what a human judges, and how you would know when something goes wrong.”
“Before running this prompt, take the evaluation below. Come back with your three lowest-scoring principles. Then ask: what is the single workflow in my business where improving that score would have the most immediate impact on revenue or margin? Now design the intervention, not the tool, the architecture.”

Most operators will read a framework like this and change nothing.

The full prompt pack is for those who want to do the work.

Two more prompts behind the wall: a workflow redesign built on principles 1, 2, and 5, and an evaluation-linked diagnostic that converts your lowest scores into a specific architecture decision. The complete reading pack — six sourced articles with NotebookLM instructions — included.

The work is the point. The prompt pack is how you do it.

Paid subscribers get the full prompt pack for this edition.

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The Operating Founder Playbook: 100 Lessons From the First 100 Sessions

John Brewton — Tue, 24 Mar 2026 12:10:59 GMT

I’ve spent 100 hours coaching Substack founders so far this year.

It’s actually been 105 so far, with hundreds more hours booked for the months ahead. In 2026, scalability is overrated. Helping people is the only thing that matters.

I’ve spent 100 hours listening and helping people like you who are trying to build a business of one..

Consultants productizing services.
Newsletter operators building paid subscription engines.
Coaches designing scalable practices.
Corporate refugees are trying to figure out what their 20 years of experience are actually worth on the open market.

I’ve kept notes, and the patterns are far too clear to ignore.

By session 20, the same struggles were showing up across completely different businesses. By session 50, I could predict the order. By session 100, I had a field guide I did not expect to write.

These are not lessons I invented. They are lessons I learned from people through their lived experience, contrasted with the strategic direction and lens of my 20 years of operating experience.

The struggles are universal.

The breakthroughs are specific and life changing.

The people who generated these lessons deserve more credit than I do for writing them down.

I organized them into 10 categories.

The first 10 are free.

The remaining 90 are behind the paywall because they represent the depth of what this cohort built together over just the first two months of our work together.

If you see yourself in these lessons, good. I hope this helps.

If you want to learn these lessons and more, join our community.

- j -

(Access the entire library of articles and resources for $7.99 per month)

0 to 55,000 - The First 90 Days Playbook - What I’d Do Differently Knowing What I Know Now

The Operating by John Brewton Resource Library - No Filler. All Killer.

WINNING THE LOSER’S GAME: The Creator Economy and the Companies We All Need to Build

Operating Stories: Hermès and the Manufacturing of Scarcity

Operating Economics: Building Antifragile Companies

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The First 10

1. We are not losing because we lack talent. We are mid-transition.

Measure against where you were 90 days ago. Not against someone who started five years before you.

2. The first $1,000/month is almost never an audience problem. I watched founders with 200 followers close $3K deals. I watched founders with 10,000 followers struggle to clear $500. The difference was clarity, not reach.

Rewrite your offer in one sentence. Send it to 10 people you know. The bottleneck is not distribution.

3. Nearly every founder from corporate underpriced by 40-60% in year one. Corporate taught them that someone else decides what they are worth. That conditioning does not vanish on day one of self-employment.

Calculate your delivery cost. Add 50%. That is your floor.

4. The fastest builders were not the best content creators. They were the best follow-uppers. One warm follow-up per day. That is it. The correlation between this habit and revenue was the strongest signal in the entire cohort.

Follow up with one warm contact today. Before you create any content.

5. Most people did not set out to build a personal brand. They set out to build a business. The brand is the distribution channel. Not the destination. That reframe changed how a lot of people spent their mornings.

Write about your client’s problem. Not about you.

6. The identity shift from employee to founder takes 6-12 months. Month 3 or 4 is the hardest. The excitement fades, results have not arrived, and your old colleagues just posted about a team offsite. Nearly everyone hit this wall.

Do not make permanent decisions based on temporary doubt. 12-month runway before you evaluate.

7. Almost everyone already had their first 50 clients in their existing network. They just had not looked at those relationships through a founder lens yet.

List 20 people who trust your judgment. That is not your network. That is your pipeline. Reach out to three this week.

8. Nobody needs another course. They need someone to look at their numbers and tell them the truth with kindness. That is what the sessions became.

Find one person who will look at your business with honest eyes this week.

9. One-sentence businesses outperformed multi-tier product suites every time. “I do this one thing for this one type of person and I can start Monday” beat the 30-slide deck at a rate that stopped surprising me around session 40.

If you cannot explain your offer in one sentence, it is not clear enough to sell.

10. Perfectionism showed up in almost every session. Not as laziness. As fear. The people who shipped at 80% learned faster, earned faster, and built more. Every time. Across 100 sessions. No exceptions.

Ship the thing you have been polishing. 48 hours. Whatever state it is in.

These are the first 10. There are 90 more below, organized into the 10 categories I wish someone had handed me 20 years ago. I wrote them for the people in this cohort. I hope they will be useful to you, too.

Before you hit the paywall, I want to give you something.

I built a free interactive scorecard based on these 100 lessons.

You rate yourself 1-5 on each one. It calculates your scores across all 10 categories and shows you exactly where you are strong and where you are leaking. It takes about 15 minutes. The output is a personalized operating diagnostic that would cost serious dollars if a consultant built it for you.

It is free. No email gate. No signup. Just take it.

[Take the Operating Founder Scorecard]

Paid subscribers also receive this as a Google sheet with a graphical dashboard and quarterly tracker. It’s pretty awesome.

I built it using Perplexity Computer. Which, if you think about it, is a pretty good proof of concept for Category 8 of this playbook.

Now consider this. That scorecard is what I give away for free.

The 90 lessons behind the paywall, organized into 10 operating categories with specific action steps for each one, are what I give to paid subscribers. Along with every framework, template, and tool I build across Operating every week.

Become a paid subscriber for $7.99 per month.

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Operating Habits: You Don’t Have a Sales or Success Problem. You Have a Listening Problem.

John Brewton — Tue, 10 Mar 2026 12:21:07 GMT

JOHN BREWTON MAR 10, 2026 ·

3 Operating Founder Seats Left!

The Operating founders program closes for 2026 this morning at 10:00 AM EST, or when the last three seats are filled, whichever comes first.

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Every Operating Founder receives four 1:1 (60-minute) Strategic Operating Sessions with me, weekly live Zoom Cohort Sessions, and starting the week of March 9th, an exclusive Skool community designed for collaboration, cross-promotion, and centralized access to all of the assets and tools I’ve been creating across my Substack articles (both paid and free).

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Listening is the highest-leverage operating skill nobody trains.
You spent years learning to write. To present. To pitch. To sell.
How many hours have you spent training yourself to listen?
I’ve hired more than 250 people across my career.
I’ve been dozens of teams.
I’ve interview more than 2,000 people.
I’m coaching more than 200 people this year.
I’ve sold through on +$300 million in corporate contracts.
My success across each of these domains shrinks or expands in relationship to the quality of my listening.
Each day of each week. Each minute of each session. Each answered call. Each interviewing room entered.
My ability to succeed is measured by how well I choose (or don’t choose) to listen.
This week’s Operating Habit is aimed at giving you the tools and a couple hacks to tackle and improve this most critical skill.
- j -

The Research Will Make You Uncomfortable

Zenger Folkman, a leadership development research firm that has assessed over 80,000 leaders using 360-degree feedback, studied 4,217 of them specifically on listening. Leaders rated as poor listeners ranked at the 15th percentile in trust. Leaders who excelled at listening reached the 86th percentile.

Same people.

Same jobs.

The variable is always and forever whether or not anyone felt heard.

Gong, the revenue intelligence platform that records and analyzes sales conversations at scale, studied 326,000 sales calls. The top closers maintained a ratio of roughly 43% talking to 57% listening.

Not a huge gap. But consistent.

The worst performers flipped it. And their talk ratio swung wildly between wins and losses, which means they had no process. They had reactions.

Managers trained in active listening saw a 30% improvement in employee satisfaction and up to 25% gains in team productivity.

And here’s the kicker: Zenger Folkman’s data showed that just 15 minutes of focused listening was enough to make a measurable impact on a relationship.

Fifteen minutes. You spend longer than that deciding what to have for lunch or scrolling your Instagram feed each day.

Five Places Listening Compounds

Listening isn’t a soft skill.

It’s a multiplier across five operating functions.

Leadership: You can’t lead people you don’t understand. Trust is infrastructure. Without it, nothing ships. And trust is built by listening, not by talking louder with more conviction.
Sales: Your clients tell you exactly how to close them. The objection they raise. The fear underneath it. The thing they said in minute three that they contradicted in minute twelve. That’s the deal. You just have to stop rehearsing your pitch long enough to hear it.
Coaching and Client Work: When I listen to a founder for 45 minutes before saying anything, two things happen. They solve half the problem themselves, because articulation is clarification. And when I do speak, my advice is surgical instead of generic.
Team Development: People don’t leave companies. They leave people who don’t listen to them. If you’re managing anyone, even a VA or a freelancer, your listening quality determines their output quality.
Self-Management: The Monday/Wednesday/Friday 1:1 from last week’s Operating Habit? That’s a listening exercise. You’re listening to your own patterns. Your own avoidance. Your own reasoning. Most operators can’t hear themselves think because they never stop talking long enough to try.

Are you new to Operating?

This Week’s Operating Habit

Make the silent choice to spend 80 to 90 percent of every meeting listening.

Don’t tell anyone you’re doing it.

Don’t make it a thing. “Just do it.”

Ask questions. Then ask more questions.

When someone asks you a question, turn it back. “What’s your instinct?” Let them talk. Let the silence sit. Most people will fill it with exactly the information you need.

Then in the final minutes of the meeting, deliver your full perspective.

Feedback. Direction. Next steps. Not before.

Why this works: When you talk first, you anchor the conversation to what you already know. When you listen first, you anchor it to what you need to learn. The person who speaks last in a meeting has the most information. That should be you.

The Rules:

No announcing it. The moment you label it, it becomes performative.

Ask open questions. Not yes or no. “What’s the real problem here?” “What would you do if I wasn’t in the room?”

Redirect questions back before answering them. You’ll be surprised how often their instinct is better than your advice.

Hold your perspective until the last 10 to 20 percent of the meeting. You’re not withholding. You’re gathering.

After every meeting, write down the one thing you heard that you wouldn’t have heard if you’d been talking.

The math: Five meetings this week. You shift from 50/50 to 80/20 listen-to-talk. You just doubled your information intake without adding a single meeting to your calendar. That’s not a soft skill. That’s an operating efficiency gain.

The Operating Habits Hack

Record everything.

Transcribe everything.

Then go deeper than the notes.

Use Notion Meeting Notes to capture full transcripts of every meeting. Not summaries. Not bullet points. The entire conversation.

Then take that full transcript and feed it into your AI tool of choice.

I use NotebookLM.

The key: Use the full transcript, not the meeting notes your AI assistant auto-generates. Those give you action items and takeaways. That’s table stakes. That’s skimming, not listening.

Instead, do a deep dive on what was actually said between the lines:

What were the feelings in this conversation?
The fears?
The worries?
The excitement?
The frustration?
What did they say they were struggling with that they never framed as a struggle?
What did they avoid talking about entirely?

The opportunity lives in the emotional subtext.

Then build the context into your CRM. I built one in Notion. Every person I work with has a profile. It doesn’t just have their company name and email.

It has birthdays. Wedding anniversaries. Kids’ names. Promotion dates. Career chronology. What they’re excited about right now. What they’re afraid of right now.

All captured because I was listening, not talking.

When you remember someone’s daughter’s name six months later, that’s not a party trick. That’s proof you were paying attention.

And people do business with people who pay attention.

The compounding effect: you listen in the meeting. You capture the full transcript. You mine it for emotional and personal context. You store it. You reference it. Every future conversation starts from depth instead of zero.

It’s more an operating system for relationships than a CRM.

How happy would you be if you never heard the acronym CRM again?

hope this helps.

companies are becoming tech stacks.

we are all becoming companies.

- john -

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Operating Habits: You Don’t Have a Strategy Problem. You Have a Bad Boss Problem.

John Brewton — Tue, 03 Mar 2026 14:21:04 GMT

Operating Founder: $99/year

Four 1:1 (60 minute) strategy sessions with me.

Weekly live cohort calls. A private Skool community with every framework and tool I’ve built. Plus a room full of +160 founders actively promoting each other’s work, learning and collaborating on Substack.

The first cohort sold out in 12 days.

Limited seats are open again (until the Skool launch on Monday, March 9th)

JOHN BREWTON

Become an Operating Founder

Start Here

You used to have a boss.

Not a good one, probably. But someone who sat across from you once a week and asked questions you couldn’t dodge.

What are you working on? Why?

Is it moving the needle or are you just busy?

You hated those meetings. You thought they were performative. You rolled your eyes when the calendar invite hit your inbox every Monday at 10am.

Then you went out on your own. And nobody ever asked you those questions again.

You made a pricing decision last month. Do you remember why?

Not what you decided. Why.

The actual reasoning.

The thing you told yourself at 11pm when you changed your rate card and hoped nobody would notice.

You don’t remember.

I know you don’t. Because nobody does.

And here’s the part that should bother you: nobody is going to ask.

The loneliest job in business

When you worked inside a company, you had structure you didn’t even notice.

Weekly 1:1s.
Quarterly reviews.
A manager who checked your work.
A team that pushed back on your ideas before they shipped.

You thought that structure was bureaucracy.

You were wrong. It was a valuable feedback loop.

Now you’re the founder, the operator, the strategist, the executor.

You’re making dozens of decisions a week.

Pricing. Content. Clients. Hires. Tools.

And there is exactly zero structural accountability for any of it.

No one reviews your priorities. No one challenges your assumptions. No one asks you the uncomfortable question about why you spent Tuesday building a landing page instead of following up with the client who’s about to churn.

You are running a company with no management layer.

Including no management of yourself.

Sound familiar?

Are you new to Operating?

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The fix is a meeting you already know how to run.

Here’s this week’s Operating Habit:

Schedule a recurring 30-minute 1:1 with yourself, three times a week.
Monday. Wednesday. Friday.

Put it on the calendar.

Treat it like a client call.

Show up with an agenda.

Take notes.

Do not cancel it because you’re “too busy.”

You are never too busy to manage the person running your business.

Monday: Set the Week

This is your planning session.

Three questions:

What are the 3 things that matter most this week?
What decision from last week needs a follow-up?
What am I avoiding?

That third question is the whole game. The thing you’re avoiding is almost always the thing that matters most. If you can name it on Monday, you can act on it by Wednesday.

Wednesday: Midweek Audit

This is your accountability check. Three questions:

Am I on track with my Monday priorities?
What slipped and why?
What do I need to say no to for the rest of the week?

Wednesday is where most solo operators lose the plot. The inbox has taken over. A new opportunity appeared. Someone asked for a “quick call.” The priorities you set 48 hours ago are already buried under other people’s agendas.

The Wednesday check pulls you back.

Friday: Close the Loop

This is your review session. Three questions:

What decisions did I make this week and why?
What worked? What didn’t?
What’s one thing I’ll do differently next week?

Friday is where the learning compounds. Without it, every week is a standalone event. You never build on what you did. You just start over.

Why three times, not once

You might be thinking: I can do this once a week.

You can’t. I’ve tried. Here’s what happens:

You schedule a weekly review for Friday afternoon. Week one, you do it. Week two, you move it to Monday because Friday got busy. Week three, you skip it because Monday was packed. By week four, the habit is dead and you’re back to operating on instinct and anxiety.
Three times a week works because the gap between sessions is never more than two days. You can’t drift far enough to lose the thread. The Monday/Wednesday/Friday rhythm mirrors the natural arc of a work week: set up, check in, close out.

It’s the same reason good managers don’t do monthly 1:1s. Too much happens between sessions. The conversations become retrospectives instead of real-time course corrections.

The rules

It goes on the calendar. Not a mental note. A real calendar event with a real time block.
30 minutes, maximum. This is not journaling. This is management. Be efficient.
Use the agenda every time. Don’t wing it. The structure is the point.
Write things down. Your memory is lying to you. That’s the whole thesis of this series.
Don’t cancel it for other people. You wouldn’t cancel a meeting with your biggest client. This meeting is more important than that.

Start this week.

I built a free 1:1 Agenda Template for you [download here →].

Three sessions. Nine questions. Pre-formatted for 90 days of self-management.

Free subscribers: [Download the 1:1 Agenda Template here →]

Paid subscribers get the full toolkit:

The Operating 1:1 Scorecard — a one-page reference with weekly scoring criteria, a 30/60/90 day self-assessment framework, and benchmark ranges for tracking your consistency and follow-through rate.
The 90-Day 1:1 Tracker — a visual progress tracker with built-in review prompts at Day 30, 60, and 90 so you never lose momentum.
The “What Am I Avoiding?” Log (Bonus Tool)

[Become a paid subscriber and get this week’s full Operating 1:1 toolkit.]

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hope this helps.

we are all becoming companies.

- john -

My AI Operating Stack: The Video Intelligence System

John Brewton — Fri, 27 Feb 2026 12:14:47 GMT

Operating Habits: You Don’t Have a Strategy Problem. You Have a Memory Problem.

John Brewton — Tue, 24 Feb 2026 12:51:09 GMT

You made a pricing decision last month. Do you remember why?

Not what you decided. Why.

The actual reasoning.

The thing you told yourself at 11pm when you changed your rate card and hoped nobody would notice.You don’t remember.

I know you don’t. Because nobody does.

We make dozens of business decisions a week.

Pricing. Content. Clients. Hires. Tools.

And …

Operating Habits: My Morning Protocol

John Brewton — Tue, 17 Feb 2026 13:57:53 GMT

Operating Habits: Week 3 — The Platform Verdict

John Brewton — Tue, 10 Feb 2026 12:00:54 GMT

We sold out 100 seats in the Operating Founder program in two weeks. The demand and excitement blew me away, and my learning so far showed me something important about what is most valuable to the community we’re building.

So I’m doing something I didn’t originally plan.

Every Friday, starting this week, I’m hosting a 60-minute live Zoom session solely for Operating Founders. Here’s what you get if you become a Founder:

→ Behind the scenes of everything I’m building. I’m documenting the construction of Operating by John Brewton in real time — the strategy, the mistakes, the pivots, all of it.
→ Live content creation tutorials. I’ll show you exactly how I create my content, all the tools, the process, the thinking behind every format and platform decision.
→ My actual content performance and growth data. I’ll walk through the same Google Sheets I use to track my own performance. No curated screenshots. The real numbers, live.
→ Blank templates of every asset I use — yours to download and use immediately.
→ 20 minutes of open Q&A every session. Anything related to building your creator business, growing your personal brand, or scaling your social following. No question is off-limits.
I’ll also be inviting special guest speakers and friends of mine, once a month, who have deep niches expertise in everything from specific platform growth strategies, content design, creator business building strategies and all the tools and operational components you need to get the job done.

For $99, you get a front row seat to how I do everything I do, while I’m doing it, for 52 consecutive weeks.

Scalability is overrated. In 2026, helping people is the only thing that matters to me.

[Become an Operating Founder →]

Become An Operating Founder

Let’s see what helping people can build, together, in community.

You spent Week 1 getting your hands on the numbers. Week 2 taught you to interpret them every Friday with the Friday Forensic. This week, we zoom out one level.

The question is no longer “What happened this week?” or “What should I do differently next week?”

The question is: Which platforms actually earn their keep? Not which you enjoy most. Not which your favorite creator swears by. Not which you’ve been on since 2019 and feel weird about leaving.

Which ones, according to your data, produce the highest return on the most constrained resource you have, your time?

In This Week’s Issue

Previously in Operating Habits — Catch up on Weeks 1 & 2 and the assets you need before starting
Start Here — Why macro creator economy stats are useless to you
The Problem You Probably Don’t Realize You Have — Spreading thin, anchoring to memories, and the hidden context-switching tax
The Mindset Shift — You’re not a creator on platforms. You’re a company allocating resources across distribution channels.
What You’re Building — Two tools: the Platform Efficiency Scorecard (Excel) and the Platform Verdict Worksheet (Word)
Pass 1: The Time Audit — Where do your hours actually go?
Pass 2: The Growth Audit — Where is real growth coming from?
Pass 3: The Revenue Audit — Follow the money and calculate your RPM-F
Pass 4: The Platform Verdict — Stay, Sunset, or Experiment: three decisions that change your allocation
The Relationship Layer — Which platforms generate your highest-quality relationships?
The Weekly + Monthly Rhythm — How daily, weekly, and monthly habits stack together
This Week’s Assignment — Your seven deliverables by Friday

The creator economy is projected to reach somewhere between $200 billion and $480 billion by the end of 2027, depending on who’s counting. There are over 200 million content creators worldwide. Forty-five percent of full-time creators plan to expand to YouTube in 2026. Forty-one percent plan to expand to Instagram and TikTok equally.

I share those numbers for one reason,

To make a point about how useless they are to you.

The macro trends tell you where the industry is going. They tell you nothing about where your business should go. Every creator has a different audience, a different niche, a different skillset, and a wildly different relationship with their time. The person who built their newsletter on Substack and their network on LinkedIn is operating a fundamentally different company than the person who built their following on TikTok and monetizes through YouTube ad revenue.

And yet, when creators decide where to spend their hours, they almost never consult their own data. They consult vibes. They consult what worked for someone who has 500,000 more followers than they do. They consult the platform that gave them a dopamine hit last Tuesday.

Operators don’t do this. Operators treat platforms the way a CFO treats business units: every one needs to justify its existence with data, or it gets restructured.

That’s what we’re doing this week.

- j -

Become An Operating Founder

Most creators are on too many platforms. Not because the math supports it, but because they’re afraid of missing out.

Two predictable failure modes drive this.

The first is spreading thin. You maintain four or five platforms, posting on all of them, engaging on all of them, reformatting content for all of them. You’re technically “present” everywhere but dominant nowhere. Your content is a B-minus on every platform instead of an A on two.

The second is anchoring to a memory. You went semi-viral on Twitter eighteen months ago, so you keep investing three hours a day there even though your follower growth has flatlined and nobody clicks through to your newsletter. You’re not making a strategic decision. You’re honoring a sunk cost.

But the biggest problem — the one almost nobody talks about — is the context-switching tax.

Every platform has its own native language. LinkedIn rewards professional authority. TikTok rewards pattern interrupts and raw energy. Substack rewards depth and trust. Instagram rewards visual storytelling and aesthetic consistency. Twitter rewards speed, wit, and hot takes.

Each one you maintain is a cognitive overhead line item. You’re not just spending time creating and posting. You’re spending mental energy shifting between voices, formats, audience expectations, and platform norms. That switching cost is invisible in your analytics. It’s enormous in your output quality.

If you’re on four platforms and spending roughly equal time on each, you’re probably operating at about 60% of your potential on all of them. If you went all-in on two, you’d operate at 90% — and you’d have hours back every week to spend on the activities that actually compound: writing, thinking, building relationships, and creating products.

The goal this week isn’t to quit every platform. It’s to make the allocation decision consciously, with data, instead of drifting into it by default.

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Here’s the frame I want you to hold for this entire exercise:

You are not a “content creator on platforms.” You are a company allocating resources across distribution channels.

The question is not “Should I be on TikTok?” The question is: “Given my finite hours, which channels produce the highest return on time invested — measured in business outcomes, not vanity metrics?”

A Fortune 500 company doesn’t stay in a market because it “feels right.” It stays because the unit economics justify the allocation. If a product line consumes 25% of operating budget and delivers 8% of revenue, someone in the C-suite asks hard questions.

You should be asking the same questions about your platforms. This week gives you the tools to do it.

Become An Operating Founder

You’re building one system with two components. This mirrors the Week 2 structure — one data engine, one thinking surface.