The same legwork, every single day.
Reports, quotes, documentation: work that drains energy and barely needs expertise. First attempts with AI then often produce results nobody really trusts.
sound familiar?Expertise is the raw material.
Every workflow starts with the domain experts: what makes good work in this field? Which rules, which quality standards, which experience is sitting in people's heads?
Knowledge becomes a frame.
Together with the experts I cast that knowledge into fixed structures: schemas, validation rules, clear boundaries. The workflow is designed by people. AI is never handed the job of inventing the system itself.
Only now does AI come in.
It fills the frame: sorting, condensing, drafting. Always within the lanes the experts defined. Every result is traceable, because the structure came from people.
People keep the final say.
Built-in checkpoints prevent blind rubber-stamping. At the decisive moments the workflow demands a deliberate human decision. That keeps responsibility where it belongs.
Active Friction ↑Results at expert level.
What leaves the workflow carries the team's signature: produced faster, reliably checked, without AI slop. And the team works as the architect of its own work.
