Creative director.AI-native founder.One stack. Live proofs.

Galen Oakes spent twenty years as a photographer and creative director. Since late 2024 he has been building Braintied full-time: a proprietary stack, a public stage, and client ventures that ship in days. Work stats below pull live from Watchtower and GitHub. Company materials (thesis, brands, invest) are in the footer.

Mlines of code
hours
day streak
commits

Past the sliding glass door of a mid-century house in West Adams, Los Angeles, through a courtyard where a guava tree drops fruit nobody picks up, there is a back studio with three monitors and the kind of natural light that photographers spend whole careers chasing. Galen Oakes is not taking photographs anymore. He is thirty-nine years old, an artist who taught himself to code, and he has been sitting in this room since September, seven in the morning to one at night, building an operating system for the way small businesses will run when AI finishes rewriting the rules.

He grew up in a cabin in the redwoods of Northern California. Westport, population sixty, the last village before the Lost Coast, the only stretch of American shoreline that was too steep and too wild for the highway builders to touch. His grandfather engineered nuclear submarines and came home with briefcases handcuffed to his wrists. His father was an environmental artist who took him to Macworld and bought a Centris 650 to publish a book called Sculpting with the Environment. His mother was a teacher who put a camera in his hands at sixteen, a Sony Cyber-Shot, this silver brick with a tiny screen, and he took it everywhere. He pirated Photoshop in middle school, aced an advertising final in community college without studying, got an incomplete in another class, dropped out. Trimmed pot for a year to save money. Went to Bali. Went to Burning Man. Moved to San Francisco at twenty-one, before Instagram existed, before Uber, and spent the next fifteen years shooting festivals for Red Bull, directing campaigns for Nike and Salesforce, helping build The Village, the premier tech venue in the city. Five companies. Every one of them was somebody else's dream. Every one of them ended the same way.

Oakes has ADHD, which he will tell you is a blessing and a curse in the same sentence and mean both parts completely. The blessing is that his mind holds a whole portfolio at once, sees the thread connecting a restaurant OS to a stage product to a knowledge system, and follows that thread while everyone else is still opening their first tab. The curse is that the world was never built for the way he thinks. School was not built for it. The five partnerships that ate his twenties and thirties were not built for it. The traditional path from idea to company, the one that requires money and developers and project managers and eighteen months of runway before you ship anything, was not built for it. Then AI arrived. And the skill he had carried his whole life, the ability to see something clearly in his mind and describe it into existence with words, turned out to be the exact skill you need to build with it.

“I believe that my purpose in the world is to be a bridge between technology and environment. And here I am at 39, still trying to figure out how to make it. But because of AI, it's allowing for me to become independent and have more agency because it allows for me to create things that I would have needed lots of money and developers and all of this stuff before. And so now I want to take everything I've learned and help other people like me, creative people who weren't able to build before, have the same level of agency.”

That is what he is building toward, late at night, when the screens are the only light and the guava tree outside is just a silhouette against the street. Help creative people have agency. Give them the tools he never had. Build the thing he needed when he was twenty-five and talented and completely dependent on someone else's timeline, someone else's money, someone else's willingness to keep going.

A year ago, he had never written a line of code.

Twenty years behind a camera. Zero engineering experience. Then AI gave him a way to describe what he wanted to build and watch it come to life. Here is what happened next, in three phases.

🧪

Learning to build

April - July 2025

Twenty-five projects in four months, built on a beginner platform where you can write code and see results instantly. After fifteen years behind a camera, Oakes was picking up a new medium. Most of these projects failed. That was the point. He was learning the way he always learned: by making things and seeing what breaks.

609hours
9.8h/day avg
62days
25projects
🚀

Building to ship

August 2025

He moved to professional development tools and launched his first real product, Sentigen. Everything clicked. He stopped experimenting and started shipping finished software. Fifteen years of understanding what people need finally had a way out.

348hours
12.9h/day avg
27days

All in

September 2025 – July 2026

Fifteen hours a day across the production era. Products stopped being separate ideas and connected into one stack: stage, system of record, build/ship, distribution. Client ventures shipping. Work counters on this page stay live from Watchtower as sessions and commits land.

3,186hours
15.8h/day avg
202days
75projects

He has never worked harder in his life.

The window for building the infrastructure layer of AI is measured in months, not years. Hours, commits, streak, and days worked below are live from Watchtower: every coding session and commit the agents and Galen push lands here.

“I found in AI the support I was never able to find in humans.” He means it literally. Twenty years of building with other people, waiting for other people, depending on other people. And then something appeared that matched the way his mind actually works.

Hours Logged

M

Lines Written

Commits Pushed

Days Straight

Days Worked

Coding Sessions

What the hours looked like

Days over 12 hours219
Days over 16 hours166

Peak month: December 2025: 518 hours (16.7h/day avg)

Loading streak…

Every square is one day. The brighter it is, the longer he worked. Connected live to Watchtower commits and coding sessions.

Pulling the live work calendar…

Less
More

Building software used to take teams and millions of dollars.

AI changed that. These are the fastest-growing software companies in the world right now. Most of them launched in the last year. One of them was built by a single person.

Base44

Lets anyone build an app by describing it in plain English.

Built by one person. Sold for $80 million in six months. 250,000 users.

Cursor

An AI assistant that helps programmers write code faster.

$2 billion in annual revenue. Doubled in three months. Now worth $50 billion.

Lovable

Turns a conversation into a working website or app.

$400 million in annual revenue with 146 employees. Added $100 million in a single month.

Bolt.new

Build a working app in your browser by talking to AI.

$40 million in annual revenue. Five months after launch.

Midjourney

Creates images from text descriptions. No design skills needed.

$500 million in revenue. About 100 employees. Zero outside investment.

Galen Oakes / Braintied

An operating system that runs your entire business. Sentigen thinks. Parlor builds your website. Swishh handles your marketing. You just talk to it.

One person. Twelve months. Twelve products. No funding. No team. First line of code: April 2025.

Five documents that run a company.

He was using a code editor as a text editor. That accident became an architecture.

Galen Oakes has ADHD. His mind sees patterns across the whole portfolio simultaneously, connections between a restaurant OS and a stage product and a knowledge system in the same breath. It also means that if he does not write it down, it disappears. The living strategy docs were not a slide exercise. They were a survival mechanism.

It started with Cursor. Most people use it to write code. Oakes opened it and started writing words. “I was using Cursor as a text editing platform. Not for code. I was saving all meetings inside Cursor, all research, all plans. For synthesizing and context engineering and coming up with plans.” Meeting transcripts, research, strategy documents, organizational maps. All of it living inside one editor, all of it feeding into the AI. Cursor became the playground for everything that followed. By June 2025, he had built the first version of all five documents inside Cursor. He authored 100 percent of his company's knowledge base this way, not by coding, but by curating the context that would allow an AI to understand a business the way a chief of staff does after three years of sitting in every meeting.

He built five living documents. Strategy. Roadmap. Knowledge. Stakeholders. Results. Each one feeds from nine data sources: email, meetings, Slack, Telegram, iMessage, WhatsApp, entity interactions, deep context, and canvas documents. Every day, those sources produce new information. Every day, the documents update themselves. A planning model reads the incoming data and proposes specific edits. An execution model applies them surgically. The philosophy is amend, not replace. The documents are continuous prose that grows and evolves. They never truncate. They never summarize away what came before.

“Every business will only be as powerful as their knowledge base,” he told a partner in July 2025, “and their knowledge base will only be as powerful as the way that they've engineered the context. Meetings are context. Slack channels are context. Research is context. Previous documents are context. All of these things work together to give you superpowers.”

By early 2026, every major AI agent framework had converged on exactly this pattern. OpenClaw, Claude Code, every serious agent system runs on text files that tell the AI how to think and what to remember. The entire industry landed on documents in folders as the operating layer for AI. Oakes had been building this in production for a year before most of these frameworks shipped. But he took it further. Instead of static files sitting on a laptop, he moved the entire system into a cloud database where any agent, anywhere, can read from and write to the same shared brain. The documents are not files anymore. They are living rows in a database that search by meaning, not just keywords, and rewrite themselves as the business changes.

Then the line that captures the entire intellectual project: “Global styles for intelligence.” If you have built websites, you know what global styles are. One file controls the fonts, colors, and spacing across every page. Change it once, change everything. Oakes asked what would happen if you did the same thing with company knowledge. One set of living documents. Every agent in the system reads from them. Update the strategy document and every agent, from the customer service bot to the marketing writer to the project planner, adjusts its behavior.

On June 11, 2025, he committed his Knowledge Curation Thesis to GitHub. Eight days later, on June 19, Tobi Lutke, the CEO of Shopify, posted a memo that popularized the term “context engineering.” The industry adopted it within weeks. Oakes did not have the term. He had the practice. The timestamp is in the git log.

“The thing I'd been best at my whole life, seeing something in my mind, describing it with words, speaking it into existence, turned out to be the exact skill you need to build with AI.”

The work was happening before the vocabulary existed.

On June 11, 2025, Oakes committed the Knowledge Curation Thesis to GitHub. Eight days later, the CEO of Shopify coined the term “context engineering” for the same concept. The git history tells the whole story.

View the Knowledge Curation Thesis on GitHub ↗

June 12, 2025

Still 7 days before the term is coined. No one is talking about this yet.

The people who built the last era are describing the next one.

Seven people. Seven vantage points. They run the companies that make AI possible. They are all saying the same thing: one person can now do what used to require a company.

In my little group chat with my tech CEO friends, there's this betting pool for the first year that there is a one-person billion-dollar company, which would have been unimaginable without AI, and now it will happen.

Sam Altman

CEO, OpenAI

October 2023

When do you think there'll be the first billion-dollar company with one human employee? 2026. 70 to 80 percent confidence.

Dario Amodei

CEO, Anthropic

May 2025

Every coder now believes they can also be a product manager and a designer because they have AI. Every product manager thinks they can be a coder and a designer. And every designer knows they can be a product manager and a coder. AI just makes every individual a super-PhD in every topic.

Marc Andreessen

Co-founder, a16z

January 2026

I've been through every single technology event and evolution and this blows them all away. There are 33 million companies in this country. There is nothing intuitive for a company to integrate AI and that's what people don't understand.

Mark Cuban

Investor

February 2026

For 25% of the Winter 2025 batch, 95% of lines of code are LLM generated. That's not a typo. The age of vibe coding is here.

Garry Tan

CEO, Y Combinator

March 2025

The hottest new programming language is English. I've never felt this much behind as a programmer. The profession is being dramatically refactored.

Andrej Karpathy

Former OpenAI / Tesla AI

December 2025

OpenClaw has open-sourced the operating system of agentic computers. It is no different than how Windows made it possible for us to create personal computers. Now OpenClaw has made it possible for us to create personal agents. Every company in the world today needs an agentic system strategy. This is the new computer.

Jensen Huang

CEO, NVIDIA

March 2026

“For the first time I could take what was in my head and make it real. No investors. No engineering team. No asking for permission.”

The next chapter is not solo.

When you ask Galen what he wants, he does not start with the company. He starts with the people he loves. Then he goes bigger.

“I hope to make a lot of connections with AI and meet people at the highest level so that we can start to solve the biggest problems the world is facing. Hunger and housing and clean water and renewable energy. That's ultimately my north star.”

The stack is real. The stage is live. Client ventures already ship. He is looking for partners who see the same engine and want to scale it on purpose.

Hire Galen and Braintied for Studio builds, consulting, or partnership. Email [email protected] or call 415-794-7344. Thesis, brands, and invest links are in the footer.