Senior-led AI delivery
A new kind of agency.
Classic agencies bill a five-person team — PM, scrum master, designers, specialists — for what one senior engineer can deliver end to end when AI does the building and the verification. We removed the overhead and the budget waste. You pay for outcomes.
The loop
Brief in, production out
A repeatable loop — in days, not sprints. Five steps, the same five every time, each one with a name and an owner.
01Brief & scope
You describe the problem. A senior engineer scopes it into a fixed deliverable — and sets the architecture and the quality bar up front.
02Directed AI build
Senior-written prompts drive parallel agents through code, tests and docs — steered toward the right design, not left to guess.
03Automated verification
Every change is gated by e2e + API tests and demo data, so correctness is proven by the machine — not assumed.
04Senior sign-off
A senior engineer makes the calls that matter: is this the right solution, is it production-quality? Nothing ships otherwise.
05Production
CI gates quality on every PR. You get a working product in production — not a Jira ticket.
- daysnot sprints
- 0PMs
- 0QAs
- alwaysdemoable
The overhead
What you're not paying for
Every role below adds overhead without adding the thing you actually need — shipped product.
- 01Project managercoordination tax
- 02Scrum masterceremony overhead
- 03Dedicated designerhandoff delays
- 04Frontend specialistsilo cost
- 05Backend specialistsilo cost
- 06QA teammanual regression
Instead, you get
1 senior engineer + AI — end to end
FULL OWNERSHIP
The principles
What makes this honest, not hype
01Direction
Senior engineers drive. AI executes — and verifies.
AI isn't a junior whose output we wade through. We point 20 years of judgment at it: a senior engineer sets the scope, the architecture and the bar, then prompts and automates so AI does nearly all of the build — and proves it works with automated tests. Humans own the calls that matter: what to build, what “right” looks like, and the final sign-off. That's the opposite of AI slop — senior craft, run at AI speed. Knowledge lives where AI can reach it: the repo, the docs, the knowledge base.
02Ownership
The developer owns end-to-end
No PM tax. The engineer does the research, coordinates, tracks dependencies, tests every environment, and closes the loop with you — including confirming the feature actually hit production.
03Foundation
Open-source-first, not custom-from-scratch
We start from proven open source that covers ~80% — like Open Mercato for commerce, CRM and ERP — and customize the last ~20%. Less risk, less re-invention, built for the AI era.
04Verification
Quality gated in CI, every PR
We invest heavily in end-to-end test infrastructure and demo data. Every feature ships with automated tests so a business owner, a third party, or even an end customer can see it instantly with zero setup. Quality is built into delivery, not bolted on after — which is exactly what lets us merge small PRs confidently without risking the system.
Bring the napkin sketch.
Thirty minutes with a full-stack engineer, plus a short written report that's yours to keep.
30 minGoogle Calendarno sales deck
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