AI features
Assistants, search and automation built into your product.
Coopers Build
AI software engineering
AI in discovery, build and QA. Engineers stay accountable for every line that ships.
5 of 9 disciplines on it
Two things in one line of work: AI features for your product, and AI inside the way we deliver. In both, a person stays accountable and every gain is measured.
01 ↘
What you get
Agents and RAG
Agents that work with your documents and systems, with sources you can check.
AI pair programming
Our engineers code with AI; a named engineer reviews every diff.
AI in QA
Regression and accessibility scans that run on every release.
Measured gains
We record before and after, so you see what AI changed and what it did not.
02 ↘
Who is on it
- 01StrategyWe challenge the brief before anyone writes code.
- 02PMOne project manager who owns the deadline: steady delivery, risks in the open, you always in the loop.
- 03UXResearch and flows so every screen solves a real task.
- 04UIInterfaces and design systems that look like your brand and are ready to become code.
- 05Front-endFast, accessible interfaces in Astro, Next.js, Nuxt and React.
- 06Full stackFrom database to screen: APIs, integrations and CMS that hold up under real traffic.
- 07MobileiOS and Android with React Native, from prototype to store.
- 08ContentContent and code to be found on Google and cited in AI answers.
- 09AIAI in every step: discovery, code and testing. Machine speed, human signature.
03 ↘
How it runs
- 01 / 04
Find the use case
We pick the tasks where AI saves real time or adds real value.
- 02 / 04
Prototype
A working prototype on your data, with clear limits.
- 03 / 04
Build with guardrails
Privacy, logging and human review designed in from the start.
- 04 / 04
Measure
Before-and-after numbers, reported every cycle.
Stack
04 ↘
Questions we hear
Is our data used to train models?+
No. We use providers and settings that do not train on your data, and we document where data goes.
Who is responsible for AI-written code?+
A named engineer signs off every change. The speed comes from the machine; the signature comes from a person.
How do we know it is worth it?+
We agree a metric before we start and report it before and after.