Generic assistants are built for everyone, which means they fit nobody exactly.
Why generic tools get abandoned
The first week with a new AI tool is exciting. By week three it is a tab you forgot. Not because the model is bad, but because it does not know your clients, your files, your shorthand, or the six steps you do every Monday morning. You spend more time explaining than it saves.
What a custom system does differently
It starts from your actual workflow: the tools you already use, the documents you already have, the decisions you make again and again. It remembers what matters, retrieves from your sources and says where an answer came from. It is small on purpose: one job, done well, used every day.
One job, done well, used every day.
How we build it
We look at a normal week, prototype fast, and put something in your hands within days. Then memory and retrieval, then evals on the tasks that matter to you, then the interface. You get documentation and the skills to change it yourself, because the best custom tool is one you can keep adapting.