You do the same work every day
Reading requests, retyping data, writing standard replies. Work with a pattern is work you can hand over.
Services
AI that takes over a concrete piece of work, not a chat box that is simply there.
Most AI projects fail on the question rather than on the technology. A chat box on a website rarely solves anything. An application that genuinely takes over one task — reading documents, sorting requests, drafting replies someone still approves — pays for itself.
So we start with which task it is, how often it happens, and what goes wrong when the answer is wrong. That last one decides how much checking has to be built in.
Reading requests, retyping data, writing standard replies. Work with a pattern is work you can hand over.
Contracts, forms, receipts or email. There is information in there that is being extracted by hand today.
Then a small trial on your own data says more than a long advisory report.
We settle which work it takes over and how we measure whether it is going well, before a model is chosen.
For decisions with consequences, someone approves the answer. That is a design choice, not a lack of confidence.
Usage per task is measured and capped, so a bill does not surprise you.
We write down what is sent, where to, and what is retained. That is also what you have to be able to explain to your own customers.
The result lands in a screen that matches how you already work, not in a separate chat.
We start with what you want to achieve, not with what you want built. Who has to use it, what happens next, and where it breaks down today. Scope follows from that, and only then does a price.
Structure first: which screens exist, what sits where, and the route someone takes from arriving to getting in touch. Visual design comes after. You see and approve it before a line of code is written.
We build in short rounds and put every round online behind a private URL. So you are looking at the real thing on your own phone, not at pictures of it.
Going live, measurement and maintenance. Security updates, backup checks and changes as your business changes — a site that cannot move with you is a liability in two years.
This site runs on exactly this stack. That is deliberate: we do not put anything in front of a client that we do not use ourselves.
Pages are assembled on the server and sent as finished HTML. That is what makes a site fast and what lets a search engine read it without running anything.
A mistake is caught at build time instead of by your first visitor. Fewer surprises after launch.
Database, authentication and file storage. Access is enforced at row level, so one customer's data is technically out of reach for another.
Hosting on a network that serves your pages from the nearest location, with HTTPS and certificates handled for you.
An application in which a language model or other AI model does a concrete piece of work: reading, summarising, sorting, or drafting. What distinguishes it is not the model — everyone rents the same ones — but what surrounds it: which data goes in, who checks the answer, and where the result ends up.
There are two costs: building it and running it. Building works like any other project, with a fixed price after the intake. Running is an amount per processed task, which depends on how much text goes through each time. We make that usage visible and capped from day one.
That depends on which provider you choose and the terms attached, and that is a decision we make together rather than an assumption. We write down what is sent and what is retained. For sensitive data there are options that retain nothing.
Then it has to be noticed before it does damage. So we decide up front what a wrong answer costs. If that is serious, a person approves before it goes further. If it is harmless, it can run automatically — but that is a choice, not an accident.
An intake takes about fifteen minutes and gives you a concrete picture of scope, timeline and price — including if you decide afterwards not to go ahead.