AI app development, from scope to launch.
Sometimes the answer is not an agent inside your existing tools. It is an application that did not exist before: a portal for your clients, a field app for your crew, an internal tool that replaces a spreadsheet nobody trusts any more.
We build those, with the model work treated as one part of the product rather than the whole point of it.
What we build
Web and mobile applications, designed together so the two do not drift, with AI where it does actual work: a document read and summarised on upload, a form filled in from a photograph, a search that understands the question, a reply drafted for a person to approve.
The stack is deliberately ordinary — the frameworks and hosting your next developer will already know. Interesting infrastructure is a cost your team pays long after we leave, so we spend the novelty budget on the product instead.
How it works
- 1
Scope
Deciding what the first version does and, more usefully, what it does not. The list of what we are not building is the one that protects a launch date.
- 2
Design
Screens and flows before code, reviewed against the real work they replace, so the first thing anyone clicks is not a surprise.
- 3
Build
Shipped in slices you can open and use. You see it weekly, in a real environment, not as a screenshot in a status report.
- 4
Launch and hand over
Deployment, monitoring, error reporting and a written handover. The repository is yours, and so is the account it deploys from.
What ships with it
An application is not finished when it works on a good day. Every build leaves with error reporting wired to an inbox someone reads, uptime and performance monitoring, a rollback that takes one command, and tests around the paths where a failure costs money.
Where the product calls a model, the same rules apply as everywhere else: the output is validated before anything acts on it, spending is capped per feature, and anything that reaches a customer waits for a person unless you decide otherwise.
The same standard covers everything we build — the three systems are on our services page.
Common questions
Do we own the code?
Yes. Your repository, your cloud accounts, your keys, from the first commit. There is nothing of ours in the path that you would have to keep paying to keep running.
Can you work with our existing developers?
Usually the better arrangement. We take the AI-facing parts and the pieces your team has no appetite for, work in your repository under your review process, and leave documentation written for whoever maintains it next.
What if we are not sure the idea works yet?
Then the first version should be small enough to find out. We scope to the narrowest thing that answers the question, put it in front of real users, and decide what to build next from what they actually did with it.
Bring the idea. We will tell you what the first version should be.
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