General Partner @ Digital Indies | Serial Entrepreneur/ Investor |@Fortune 40 under 40 Tech |Youngest Googler/YouTuber | Proud Mom Clean Living Enthusiast
Sometimes the biggest breakthroughs don't happen because you have a grand vision.
They happen because you keep solving one problem after another until you realize you've built something entirely different than what you intended.
That's been my summer.
Excited to finally share what we've been working on...
https://t.co/CH1SnC814d
One of my AI employees hit a problem and asked another AI employee for help.
I wasn't involved.
I had given my AI workforce an objective. One operator realized it needed expertise it didn't have.
But instead of coming back to me, it pulled in another operator.
It shared the context.
They disagreed about the right approach.
They challenged each other's reasoning, reached a decision and kept executing.
I wasn't the router.
That last part is what I find interesting.
A lot of what we're calling “AI agents” today still requires the human to orchestrate everything:
Human gives task → agent responds → human decides what's next → human calls another agent → human transfers context → human makes the decision.
We've made the human more productive.
But we've also made the human the operating system.
That's not what I want.
I don't want 20 AI agents I have to individually manage.
I want an AI workforce that can increasingly figure out:
Who needs to be involved?
What expertise is missing?
What's the best path forward?
What should happen next?
Can we execute this ourselves?
Does this actually require the human?
My job should increasingly be to define the objective, provide context, set constraints and standards, and make the decisions where my judgment actually matters.
The entrepreneur shouldn't have to be the router.
This is what we're building with Margin Machines, and it's derived from the AI workforce I use to run my own companies.
Want my setup?
Sign up for Margin Machines: https://t.co/ffaPYdqY2v
@mckaywrigley Exactly. The opportunity isn’t automating work for the sake of automation. It’s giving people radically more leverage to achieve outcomes that previously required entire teams. That’s a big part of the thesis behind https://t.co/LiYAu53Kp1
@AlexFinn@AlexFinn This is exactly what we’ve been seeing building Margin Machines. The real unlock isn’t just having more agents — it’s getting specialized agents to coordinate around an objective. At that point you’re managing an AI workforce https://t.co/zewhQC3ZG9
When people saw how I was running my companies, they kept asking: "Can I have that?"
So we built it. Margin Machines.
Train it on your business.
Give it the objective.
Manage it like a team.
Let it execute.
Because ultimately your AI workforce should:
MAKE YOU MONEY.
SAVE YOU MONEY.
Margin Machines. Deploy your AI workforce.
Join the waitlist → https://t.co/PX6gvyxYVb
People keep asking me what prompts I use to run my companies with AI.
I think that's the wrong question.
You don't prompt a great executive team.
You give them an objective, train them on the business, give them the right context and resources, and expect them to figure out how to get there.
That's increasingly how I use AI.
Which means the human job changes.
Stop prompting. Start managing.
Define the objective, context, constraints, resources and standard.
Then let the workforce figure out more of the path.
Mine can research, plan, coordinate, debate, make decisions and actually use my computer + tools to execute.
I’m looking for a growth killer who wants to build growth engines — not manage a marketing calendar.
At Digital Indies, we’re building and acquiring businesses around a pretty simple thesis: the next generation of companies will be operated by very small, extremely capable human teams working alongside an agentic workforce.
We’re already doing it.
Now I want to find the person who can help make those companies impossible to ignore.
I’m looking for someone who is unusually good at figuring out distribution.
Not just paid.
Not just content.
Not just one playbook they learned at their last company.
→ Paid acquisition. Creator armies. Reddit. Guerrilla marketing. Communities. Partnerships. Affiliates. Outbound. SEO/GEO. Viral loops.
And ideally a bunch of things we haven't thought of yet.
The right person is part growth marketer, part hacker, part operator.
You can look at a business, understand who needs to care about it, and relentlessly figure out how to reach them.
You test fast.
You kill what doesn't work.
You pour gasoline on what does.
And you're technically dangerous enough to use AI, agents, automation, data and whatever new tools emerge to do the work of what historically required an entire growth team.
Some of our companies sell to businesses and entrepreneurs.
Some will be consumer.
There will be more.
Your job is to figure out how to make them grow.
This isn't a traditional marketing role.
For the right person, it's an opportunity to become the growth engine behind a portfolio of AI-native companies — with significant autonomy, lots of things to experiment with, and an agentic workforce increasingly being built around you.
We have businesses to grow.
We have businesses being built.
And we have more coming.
I care much less about your résumé than your receipts.
DM me with:
What you grew.
From what → to what.
How you did it.
And the most unconventional thing you've ever done to get distribution.
We're open to exceptional agencies, but I'm particularly interested in finding the one ridiculously resourceful individual who reads this and thinks: this is exactly what I do.
And if someone immediately came to mind while reading this, tag them.
cc: @ajt@mvanhorn@dickc
I’m looking for a few exceptional people. We’re building and acquiring businesses around a pretty simple thesis: the next generation of companies will be operated by very small, extremely capable human teams working alongside an agentic workforce.
We’re already doing it. Now I want to meet two kinds of people:
→ Rockstar OpenClaw / Hermes / agentic engineers who are deep in multi-level agentic systems, orchestration, memory, tool use and autonomous workflows — and want to apply that technology to actually operating businesses, not just building demos.
→ Seasoned founders, CEOs and operators who have built, scaled or run real companies and are excited by the idea of becoming the CEO/operator of a business with an AI-native operating layer already being built around them.
This isn't a traditional job. For the right people, it’s an opportunity to take real ownership, operate with significant autonomy, and build alongside us.
We have businesses to run.
We have businesses being built.
And we have more coming.
If you’re unusually good at building agentic systems OR you’ve already proven you can scale a business, I’d love to meet you.
DM me with what you’ve built and what you’d want to run.
And if someone immediately came to mind while reading this, tag them.
@ajt@mvanhorn
We weren’t building AI tools.
We were building AI operators and their departments.
The machinery required to build and operate a company is becoming software.
Entrepreneurship is becoming software.
We built an AI law firm inside Digital Indies.
It has saved us hundreds of thousands of dollars in legal costs.
But that wasn’t the most interesting part.
Here’s what happened ↓
And we’d seen this movie before.
Our AI investing organization became Outlier Capital.
Now our AI legal organization is becoming Esquires.
That’s when the pattern became obvious.
Sometimes the biggest breakthroughs don't happen because you have a grand vision.
They happen because you keep solving one problem after another until you realize you've built something entirely different than what you intended.
That's been my summer.
Excited to finally share what we've been working on...
https://t.co/CH1SnC814d