I build AI agent systems that actually ship.
Fifteen years of Rails, now spent designing multi-agent architectures, the tooling that makes them trustworthy, and the prototypes that close the meeting. I ship in public and measure everything I build.
Five things I'm good at
Capability 01, measured
Two multi-agent architectures, the same ten Rails tasks, interleaved A/B, real money on the meter. The finding: 69% of a multi-agent system's bill is agents talking to each other — not writing code. The work wasn't the bottleneck. The meeting was.
The full ledger — 10 tasks, $144.72 open ↓
| Task | Swarm | Mine | Ratio |
|---|---|---|---|
| Fix a flash typo | $9.10 | $0.36 | 25.6× |
| Missing translation | $11.90 | $0.35 | 33.6× |
| Unique slug + index | $13.19 | $0.70 | 18.9× |
| Post.recent scope | $10.01 | $0.61 | 16.5× |
| Extract a service | $19.78 | $1.68 | 11.8× |
| User email specs | $6.71 | $0.48 | 14.1× |
| Comment resource | $21.93 | $1.52 | 14.4× |
| Publish notification job | $12.95 | $1.83 | 7.1× |
| Admin API + auth + rate limit | $18.17 | $2.65 | 6.9× |
| Async report refactor | $4.55 ✗ | $6.25 | no code |
| Totals (9 completed) | $123.74 | $10.18 | 12.2× |
The last row failed on both sides — the swarm burned its whole budget writing a spec and shipped no code, yet the harness still reported tests_pass: true. A green check can be a lie. Raw data + harness →
Six tools, all public
Four that didn't work
First Rails app in 2010. Wrote APIs on Rails in 2014. Today I'm CTO and co-founder of Coba (YC S23), a board member at Icalia Labs, and a contributor to Codeando México. Seventy public repos, 376 stars, roughly ten commits a day. The findings aren't Rails findings — "69% of your bill is coordination" isn't a fact about Ruby. It just happens to be measurable in the stack I know cold.
Want this pointed at your codebase?
I take one sprint client a month — one week, one working AI application. Tell me what you're building and I'll reply within a day.