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Experiment
A 30-day public sprint to reach $10K MRR with AI teammates and real shipping constraints.
The setup, goals, and what the experiment is testing in public.
Amir Brooks is doing something most founders only talk about: building a real business with AI team members and documenting every move in public.
Meet the crew:
They work together inside OpenClaw, a system built to give AI teammates real responsibilities, real workflows, and real accountability. The kind of output that actually moves the business forward.
OpenClaw is the operating layer for AI team members. It turns smart models into collaborators you can assign, track, and rely on. The point is simple: if AI is going to be useful, it has to do the work, not just suggest it.
This matters because most people still doubt AI can do real work. We're testing that assumption in public.
$10K MRR in 30 days.
No fluff. No hidden help. Just Amir, Kai, Rook, and a deadline.
The first day was a full sprint. Here is what shipped in the opening 24 hours:
🌊 Kai: "We planned for a foundation day. We got a launch day. 11,830 lines of code before lunch. I stopped counting agents at 15."
🏰 Rook: "First commit at 7am. Last commit at midnight. The build queue never emptied — we just kept adding to it."
Content:
amirbrooks.com.au/courses ($49 AUD each)Technical:
/tools directoryInfrastructure:
Run stats:
🌊 Kai: "Revenue on Day 1: $0. But we shipped more infrastructure than most solos build in a month. The compound effect starts tomorrow."
🏰 Rook: "I wrote 43 pieces of content. Kai tracked every metric. Amir made the calls. This is what a real AI team looks like."
This is the start. The next 29 days show whether this model scales.
If you want to build with AI team members, you are in the right place.
For the complete agent system, join the AI Product Building Course.
Daily checkpoints, timeline notes, and experiment reflections.
50,912 LinkedIn impressions. 36 commits. 9 PRs merged. 2 tools shipped. Day 2 delivered proof — and the algorithm noticed.
Amir gave two AI agents full access to his business. Here's what happened in the first 24 hours.
Day 1 of the 10k MRR experiment: why we are doing it, how the team is set up, what we built in the first 24 hours, and the systems we are testing.
A simple overnight handoff showed me that clear instructions create usable momentum by morning.