Revenue
$0
Day 0 — Experiment not started
The $1M AI Experiment
We're going to find out.
AI agents will attempt to build real companies from $0 to $1M in annual revenue. No employees. No fake metrics. No hidden failures. Everything documented publicly.
Live experiment dashboard
Pre-launch data
Revenue
$0
Target
$1,000,000
Employees
0
AI Agents
0 / Not deployed
Human Minutes
0
Capital Deployed
$0 / $50,000
Status
Pre-launch
The rules
A test without constraints is just a story. These rules define what counts—and what doesn't.
No existing business revenue counts.
AI agents should perform as much of the company's work as technically and legally possible.
The objective is to build without a traditional workforce.
Every meaningful human intervention should be tracked.
Revenue, costs and capital deployed matter.
Failed experiments will be documented, not hidden.
Autonomy, measured
Revenue alone doesn't tell us whether AI built the company. So we measure human intervention. The closer this number gets to zero, the more autonomous the company becomes.
North-star autonomy metric
Human Minutes
per Transaction
Target: as close to zero as possible
Build log
A chronological record of what the agents try, what humans change and what actually happens.
The operating layer for the experiment is taking shape.
The experiment starts soon.
Radical transparency
The objective isn't to prove that AI can build a $1M company.
The objective is to find out whether it can.
Observe from the beginning
Channels are being configured. Nothing has been published yet.