A factory process, with people in charge of it
Every project runs through the same five stations in the same order. AI agents do the repetitive work. Our engineers make the decisions that matter. You can see what's happening at every stage.
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01
Spec · Human checkpoint
We work with you to define what the app must do, who uses it and how we'll judge it finished. An engineer approves the spec before any build work starts. This document is the reference for everything that follows.
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02
Build
AI agents write the application to match the approved spec. The work is broken into small, trackable tasks, and we record the AI cost of each step against your project.
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03
Test
Agents run automated tests to check the build against the spec. Anything that fails goes back to Build and is fixed before it moves on.
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04
Review · Human checkpoint
Our engineers review the code and the running app, checking quality, security and fit with the spec. Nothing goes on to Launch until a person approves it.
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05
Launch · Human checkpoint
We deploy the app once you and an engineer both sign off. You get the code, the documentation and a summary of the project's AI cost. Managed hosting on Azure is available on request.
FAQ
How do you make sure AI-built software is good enough?
- Every build is tested automatically against the approved spec, and our engineers review it before it can move to Launch. Work that doesn't meet the spec goes back to be fixed.
How do you handle security?
- Security is one of the checks our engineers make at the Review checkpoint. We go over your security and compliance needs during Spec, so they're built in from the start.
Who owns the code?
- You do. Ownership terms are set out in your agreement before work begins, and you receive the full source code at launch.
What if our requirements change?
- Changes go back through Spec. We update the spec with you, an engineer approves it, and then the pipeline continues. That way every change is recorded and approved.
How does pricing work?
- Pricing depends on how big and complex your project is, and we agree it with you during Spec. You can see the AI cost as the project builds, so it's clear what the work used.