Technologies
Most interfaces assume the answer arrives all at once. AI systems do not work that way — they stream, they call tools, they pause for approval, and sometimes they are wrong. We build front-ends that stay clear and fast while all of that happens in the open.
Whether you need one interface built properly or a team that can carry your front-end for a year, the engagement fits the problem.
Applications built to your requirements rather than bent out of a template.
The surfaces specific to AI: streaming output, tool traces, approvals, and correction.
Dense internal tools for teams who work in one screen all day.
A shared vocabulary so every screen you ship afterwards is consistent.
Client-heavy products where responsiveness is the whole experience.
Making an existing front-end fast, and keeping it that way.
Interfaces that work for everyone on your team and every customer.
Engineers who join your team rather than work around it.
The problems that slow teams down are rarely the ones in the ticket. These are the three we are called in for most often.
Front-ends rarely become slow all at once. They accumulate weight one dependency and one unmemoised render at a time, and nobody notices until customers do.
Screens designed for instant responses break when the response arrives over ten seconds, calls tools midway, and occasionally needs a human to approve it.
A full rebuild is the most common answer to an ageing front-end and the most common thing to stall halfway, leaving two systems to maintain instead of one.
Chosen for what a project needs, not for novelty. Everything here is something we run in production and can support.
Six stages, each ending in something you can look at and respond to. No long silences between kickoff and delivery.
01
We map the journeys that matter, review any existing front-end, and agree what good looks like in measurable terms — speed, accessibility, and the tasks people need to finish.
02
Component structure, routing, state boundaries, and data flow are decided up front, along with the tokens and primitives every screen will be built from.
03
A working interface with real interaction, not a static mockup. It is the cheapest point at which to change your mind, so we get there fast.
04
Delivered in reviewable increments against the agreed architecture, with tests written alongside the components rather than promised for later.
05
Cross-browser and device testing, keyboard and screen reader passes, and performance measured against the budgets set in discovery.
06
Deployment, monitoring, and a documented handover — then we tune against real usage instead of guessing what people will do.
We are a software engineering team that works on AI, not an AI team learning to write software.
01
The same team handles the APIs, data, and infrastructure behind the interface, so the front-end is never designed against a backend nobody will build.
02
Budgets are agreed in discovery and enforced in CI. A build that breaks them fails, rather than quietly shipping.
03
Keyboard operation, focus management, and screen reader semantics are part of the component, not a remediation project afterwards.
04
Types run from the database through the API to the component props, so an entire class of runtime bug never reaches your users.
05
Critical journeys are covered by end-to-end tests. We would rather have twenty tests you trust than a coverage number nobody reads.
06
Your repository, your dependencies, your documentation. No proprietary runtime and nothing that requires us to stay.
Tell us what you are building or what is not working in what you have. We will come back with an honest view of the effort involved and where we would start.
