We publish our method.
How we ship in 14 days
Fourteen days is not a marketing number. It is the longest a sprint can run before a founder loses the thread, and the shortest a real feature can take without cutting corners. The whole method is built to make that window reliable.
It works because of three things, and we will be specific about all three. The scope is fixed on day 0, so the target never moves. The toolchain removes the tedious 40 percent of the work, so a senior engineer spends their hours on judgment instead of typing. And the price is an output, not an input, so our incentive is to ship well and ship early, exactly like yours.
None of that is hidden. The pages below name every tool, draw the line between what AI does and what a human does, show the measured time savings, and explain the unit economics that make a fixed price possible. If you have read this far, you are exactly the kind of founder we built this for.
A 14-day sprint.
- 01Day 0
Brief and scope
You send a one-page brief. We send back a fixed scope, a fixed price, and a delivery date by end of day.
- 02Days 1 to 3
Spec and skeleton
Saurav writes the spec, the engineer scaffolds the code with Claude Code, and you get a Loom walking you through both.
- 03Days 4 to 12
Build and review
Daily commits, twice-weekly Loom updates, an async Slack channel. Claude Code, Cursor, and Linear, in the open. You watch the work happen.
- 04Days 13 to 14
Ship and handoff
Deploy to your production, write the README, record a 10-minute handoff video, and close the sprint.
If we miss day 14, you get the full fee back. No questions.
Every tool, named.
Claude Code
Primary buildThe first draft of most code: scaffolding, handlers, types, tests for the obvious cases. Run on claude-sonnet-4-5, driven and reviewed by an engineer.
Cursor
Review and refactorThe second pass: tightening, refactoring, hunting the edge case. A different tool for a different mode of attention.
Linear
Sprint trackingThe sprint lives here, one card per day. You are added to the project, so you can watch it move.
GitHub
Source of truthEvery commit, every pull request, every review. The complete audit trail of the sprint, in your repository.
Vercel
Preview and deployA preview URL on every pull request, and the production deploy on day 14, in your account.
Sentry
ObservabilityWatches your production after handoff, so a problem finds us before it finds your users.
Plausible
AnalyticsCookieless measurement of whether the feature actually did what it was meant to do.
What AI does. What humans do.
What AI is good at
- Scaffolding a route, a handler, or a component from a clear spec.
- Translating a schema into types, and types into boilerplate.
- Drafting tests for the obvious, expected cases.
- The seventh near-identical CRUD endpoint.
- Refactoring toward a pattern an engineer has already chosen.
What humans still do
- Deciding what to build, and what to refuse to build.
- The data model. Every downstream decision rests on it.
- The failure modes: retries, double webhooks, partial deploys.
- Reading every line the tools produce. Nothing merges unread.
- Money math, security boundaries, schema design. Never the model.
Time savings, measured.
AI time saved, per sprint
45% avgShare of build time the toolchain removed, logged on each sprint. Figures are illustrative until a longer record accrues.
Why output pricing works for us
Here is the part most agencies will not put in writing. Under hourly billing, every problem an agency hits is billable. A tricky bug is revenue. A slow week is revenue. The agency that bills hours has a quiet, structural reason to want the work to take longer, and you feel it even when nobody says it out loud.
We charge a fixed $14,000 for a shipped sprint. Because the price is an output, the arithmetic flips. A tricky bug is now our cost. A slow week is our cost. Speed is our margin. We want the sprint done well and done early for precisely the same reason you do. That alignment is not a value on a wall, it is the structure of the contract.
It also decides where the AI savings go. When the toolchain removes 40 percent of the build time, that saving does not disappear into a smaller invoice we then pad back up with “senior hours.” It shows up where you can see it: a price we hold flat and a deadline we keep short. You get the savings as certainty.
The catch, and there is one, is that fixed pricing punishes bad scoping hard. A scoping mistake comes straight out of our margin. So day 0 is where we are most careful, most willing to say no, and most willing to tell you the truth about what your project actually is.
The unit economics, in one line
Hourly billing pays an agency to be slow. We deleted the option, so you never have to take our word for it.
What can go wrong, and what we owe you.
A guarantee that is never tested is just a slogan. So here is ours in plain English, including the parts that protect us.
If a sprint does not ship to your production by the contracted day 14, you get the full $14,000 back. Not a discount. Not a credit toward the next one. The whole fee, refunded. The date is written into the contract as a date.
The guarantee covers the delivery date. It does not cover scope you change mid-sprint, and it does not cover delays caused by something we are waiting on from you: access, a credential, a dependency, an approval. If we are blocked on you, the clock pauses, and we will tell you the moment it does.
If we see a sprint at risk, you hear it early. We would rather tell you on day 6 that something is harder than scoped than surprise you on day 14. Early honesty is how the refund rate stays at zero.
Ready to put it to the test?
Send a one-page brief. We will show you the method on your own project, starting with a fixed scope and a ship date.