AI-native product studio for scale-ups

Build a fully agentic business.

CEO of SecureBank CEO of SecureBank
9:41
the studioMessages
morning 👋 there's a typo in our T&Cs — the wire transfer fee reads $90 but it should be $99. can you fix it on the live site?
On it. Pulling up the SecureBank repo…
Found it in /terms, clause 8.2.
✓ Changed $90 → $99 · opened PR #218 with a screenshot for review.
looks right — ship it 👍
Merging…
Merged & deployed ✅
Live site now shows $99 per transaction.
securebank.io/termsDeployed
Terms & Conditions

8.1 Accounts are governed by applicable banking regulations.

8.2 Wire transfer fee — $9099 per transaction.

8.3 Fees are charged at the time of transfer.

terms.html · clause 8.2 - Wire transfer fee — $90 + Wire transfer fee — $99

Be the first to adopt a new way of working.

We design, build, and ship the AI products — and the agents that run them — with product design, engineering, and QA under one roof. So you scale faster, without the handoffs or the trade-offs.

Watch

See our videos

Product walkthroughs, build logs, and agents at work — see how we ship.

Selected work

What we've shipped — and who for

Good morning ☀️ While you slept · 5 shipped, 1 needs you
Onboarding flow
PR #482 · merged 02:14
Nightly test suite
2 failing · checkout_spec.ts
REVIEW
Stripe webhook retry
PR #483 · merged 03:51
+ 3 more shipped overnight
Approve 5 passing ✓ Approved · 1 to review
Just woke up, checking the overnight work
How we deliver

An agency that is slightly different

Three ways our delivery is different — and all of them are visible to you. Watch the work happen, live, from anywhere.

Run from your personal computer

Connect with your own AI client — Claude Code, or any agent harness you already use. The whole studio runs right from your own machine.

Remotely automated

Call it dark remote work — a lights-out factory for software. A fleet of remote agents builds, tests, and verifies around the clock; it ships while you sleep, so you wake up to finished work and a single morning review — and you can watch every run.

Handoff-driven

Work moves through clean handoffs — human to agent, agent to agent — each step specified, logged, and reviewable. No black boxes, no dropped context.

What teams actually want from AI

The parts that make AI actually work

Agentic products live or die on three things. We build all three in from day one — not bolted on after the demo.

agent · run #4f2a · no human in the loopLOOP DETECTED
$ agent run --task "fix typo on /terms" → step 11 · re-reading repo context ⟳ step 12 · re-reading repo context ⟳ step 12 · re-reading repo context +218,944 tok ⟳ step 12 · re-reading repo context +221,070 tok ⟳ step 12 · re-reading repo context +219,883 tok ⟳ step 12 · re-reading repo context +222,560 tok ⚠ no exit condition — still looping… $ agent run --task "fix typo on /terms" → step 11 · re-reading repo context ⟳ step 12 · re-reading repo context ⟳ step 12 · re-reading repo context +218,944 tok ⟳ step 12 · re-reading repo context +221,070 tok ⟳ step 12 · re-reading repo context +219,883 tok ⟳ step 12 · re-reading repo context +222,560 tok ⚠ no exit condition — still looping…
tokens burned68,420,991
est. cost$3,847.20
3:00
Tuesday, 18 June
🚨Alarmnow
You are going bankrupt
the studionow
We saved you from going bankrupt
Confused reaction to a runaway AI token bill
When the AI hits an infinite loop at 3am and nobody's watching 💸

Agent Harnesses

The scaffolding that makes agents reliable — tool-use loops, orchestration, retries, and guardrails. So they hold up in production, not just in a demo.

Token Efficiency

AI that doesn't burn your runway. Context engineering, caching, and model routing that cut tokens, latency, and cost — without cutting quality.

Observability

See what your AI is actually doing. Tracing, evals, and dashboards across every run — so you catch regressions and runaway costs before users do.

The team

A small, senior team

Design, engineering, and QA in one room — the people who'll actually build your product.

Justin

Justin

Business Ops
Richy

Richy

Lead Software Engineer
Lucas

Lucas

Frontend Specialist Engineer
Chuan

Chuan

Product Engineer

Got a product to ship?

Tell us what you're building. We'll come back with a plan, a timeline, and a team.