AI is about to spread through every workplace. PostScarcity AI builds companies their own agents and software, trains the team, and runs the change as the models get stronger.
01Our mission
Enterprise-grade AI for every business, at the cost of inference.
Software rented from someone who built it for everyone.
Software built for you, living in your accounts.
Deep reporting took a floor of analysts.
A small team gets the same depth from its agents.
The repeating work ate the week.
It runs on its own. People direct it.
02Our story
Over the next decade these tools will spread through every workplace. Most teams will feel the change before they understand it. We exist so the people doing the work understand it first, and come out ahead.
Our founder, Chris Johnston, has been a designer his whole life and has never stopped tinkering. He has won hackathons before and after AI.
When the models got good enough to build real software from plain instructions, designing a system and building it became the same job. That is the company.
Build.
We build you something real. A prototype in your hands in hours, then the agents and the software your business runs on.
Train.
We set you up and train your team, so the people doing the work know how to drive it.
Change.
We handle the change as the models get stronger, so what you own keeps getting better instead of going stale.
Star Trek had it right. When scarcity stops running the show, the work becomes making ourselves, and everyone else, better.
ALL OF HISTORY, UP TO 2018
Reporting, metrics, deep analysis. Enterprises had floors of people to throw at it. A small business had the basics.
FAST FORWARD
Agents grow the branches nobody had people for: the reporting, the research, the follow-through. Enterprise-grade work for a small team.
ILLUSTRATIVE, NOT TO SCALE
03Good vibes are good business
Anyone who wants to own what comes next. Here is where we shine.
The sweet spot
Small teams with infinite potential.
Owner-operators
We build you anything. The tools you always wanted, finally shaped to how you work.
Large organizations
Own your stack. Pay for hosting and inference, not a $300,000-a-year seat license.
Taste
People tired of generic AI hype who want high-fidelity creative execution.
Vibes
People we would happily have a drink with.
We take on a limited number of partners at a time and choose them as carefully as they choose us.
04How we work
We learn your business, hand you things to experiment with, and help brand your agent and decide what it should take on.
Use whatever harness fits the job and switch as they improve. The instructions move with you. Our current recommendation is Hermes Agent by Nous Research.
The AI knows what to do. It has quirks. So do people. We test, measure and iterate continuously, and we keep writing new tests and running them on old data.
Your agents do the work and come to you with what they found, what they shipped and what they need.
Every instruction is a plain file, written so the person who was not in the room can follow it. Work is verified before it is claimed.
Early on you talk to Chris and the team. The end state is your own autonomy: your people make the changes they need, in real time.
05Our films
Learn AI. Unlock Abundance.
Brand short · 0:29
Be one with AI @ Subculture Coffee
Event teaser · 0:52
High Entropy vs Low Entropy
Explainer · 0:48
06Core values
We prioritize trying and iterating, knowing that with AI powering the output, solutions must transform several times during development. We treat that fluidity as a strength.
The receiptWe build from day one, and the whole system is live by day 30. Then month two is for changing it. The first version is often wrong, and finding that out with your team using it is the cheapest thing we do.
We maximize the impact of our effort through the deliberate use of AI, so the same people accomplish far more with the same resources.
The receiptOur own operations run on agents. Publishing, research, lead intelligence, reporting, scheduled and silent. The repeating work is not done by a person here, so we know what it takes to make that true for you.
How we hold ourselves while working is how we engage with problems: with awareness of the position we are in, and care for the people we work with.
The receiptTrust boundaries are written before an agent runs. The hard rules sit at the top of the file, in plain sentences, where they will be followed. Software is shaped to the rhythm of the people using it, never the other way around. Care is a rule, not a mood.
Our approach to technology is fluid and adaptable. Solutions are not static. They morph and evolve as needed, and we embrace change rather than resist it.
The receiptWe have moved a working set of agents from one harness to another without rewriting a single instruction. We have swapped the model underneath and watched the same files produce better work. Software we design is meant to be replaced when it should be.
We help clients move beyond scarcity thinking. Our focus is on people being far more productive than the pre-AI era allowed. We deliver fixed-scope work while sharing the tools of abundance.
The receiptNinety days, in and out, and you hear the full price on a call before day one. What we use, you can use.
We challenge established ways of working, replace processes that no longer earn their place, and aim to be first to reinvent our own roles.
The receiptWe reinvented our own first. Project management, publishing, research, and reporting inside this studio are done by agents under instructions we wrote. The meeting is the work here before it is anywhere else.
Any tools we use become your tools. Education is central to what we do. We do not just build solutions; we make sure clients understand them and learn to think with AI.
The receiptEverything we build lives in your accounts, and on day 90 your team gets the keys, the instructions and the files. The glossary exists so a client can read every word in their own instruction files.
We pursue excellence with intention and focus, and keep a balanced, mindful approach. High performance and sustainable working relationships, together.
The receiptOutput is information. Fifteen rounds on a hard problem is normal. Every validator we run was written after a real failure and has caught it every time since. Work is verified before it is claimed. And we work with people we would happily have a drink with, because good vibes are good business.
07The thesis
For thirty years the only way a business got software was to rent it from someone who built it for everyone. A thousand features, forty used, all of them paid for. Every company ran on the same stacks, differently. Artificial scarcity. That constraint is gone. A capable model is a call away, and designing software for one company, for one job, in days, now costs less than the rent.
Software designed this way does not have to be permanent. A prototype built on Tuesday can be replaced on Friday if Tuesday was wrong. A tool built for this quarter's problem can be discarded when the problem changes. The company stops accumulating systems it is afraid to touch and keeps only what it uses.
An agent takes its instructions in plain text. Who it is, what it owns, what it may never do, when to stay silent. Those files are the program, and the owner of the business can read them. When the model improves, the same files run on the better model. When the harness changes, the files move. What you own persists. What improves is swapped underneath it.
