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We Build Resident AI

AI that lives inside the business, molded to the systems already there. Owned outright.

It reads like a tagline. We mean it literally.

We run on the machines we build. Not AI features added to software – the work moves through them every day, and we’re the first to feel it when they’re wrong.

This magazine is one of them. The columns here aren’t written by a content team. An editorial pipeline finds the stories, drafts, fact-checks and ships, with a human keeping the standards honest. The medium is the proof.

Running our own machines taught us one thing above the rest: organizational AI should start invisible, and gated. No new tools, no new processes, nothing anyone has to sit through a training program for. The machine drafts, a person sends. Most pilots don’t die on the model. They die on everything people had to change to use it.

The cool new toys are real, and they’re in the box. They just come later – after the machine has earned trust, when people are asking for more instead of being handed it. That’s the difference between a rollout that compounds and one that stalls in month two.

So we mold the machine to the org, not the org to the machine. There is a name for the kind of AI that does that. We call it Resident AI →

Ran Aroussi

By the numbers

Receipts, not references

48K+ GitHub stars on our software
50M+ Downloads every month
30K+ Newsletter subscribers
92% Client retention since 2023*

* at Automaze, our sister company of 25 engineers

And then people ask us to do it for them

So we built that into a thing

Here’s what keeps happening. Someone reads a column, recognizes their own company in it, and emails us a version of the same question:

“Could you do this for us?”

We work with mid-market companies to redesign how their organization actually runs. We map how the work really happens – not how the org chart claims it does – figure out where intelligence belongs, and build it in. Most of it isn’t even custom software. We tell you the truth about that, including when the answer is “you don’t need us for this part.”

We can afford to say that because we don’t sell software. Our tooling isn’t a product line – putting it somewhere it doesn’t belong is just more work for us, not more revenue.

We diagnose it, we build it, and we own the tools we build it with. One team. No handoff to an army of analysts.

How the work goes

The VarOps method

01

Observe

Watch how the work actually moves – not how the org chart says it does.

02

Understand

Turn observations into comprehension: a structured picture of the business.

03

Build

Automations where the workflow is known, agents where judgment lives.

04

Run

Deploy into production, at the autonomy level you set, with full observability.

05

Compound

Learn and improve over time. You keep a capability, not a dependency.

If that’s a conversation worth having, here’s how engagements work →

Who’s behind it

35+ years of building businesses and the software they run on.

Founder-led. Selective. Built by the team behind MUXI, Agent Formations, yfinance, the Production-Grade and Company-Scale Agentic AI books, and Automaze – 25 people, 92% client retention since 2023.

It’s led by Ran Aroussi. Before most people had heard the term, he was a top-ranked affiliate in the early performance-marketing era and coached thousands of entrepreneurs on how to actually build and sell. He’s launched multi-million-dollar businesses and written ad-tech infrastructure that served billions of impressions a day. He hosts the Old School / New Tech podcast and newsletter.

The point isn’t the résumé. It’s that he isn’t a coder who discovered business, or a strategist who outsources the build. It’s someone who knows how revenue actually gets made and how the software actually gets made – and is now pointing that at the question every company is fumbling: how to become AI-native without the theater.

Old school discipline, new tech leverage.

Build real things. Say true things. Make the work better.

Most of what we know shows up in the columns before it shows up anywhere else. That’s the best way to find out whether we think like you do.

If you already recognize your own company in this, there’s a page for it →.