An honest look at the architecture behind the workspace — and why its designed the way it is.
Most AI tools are a thin layer over a single model. Wavn is built differently — as a thinking layer above multiple engines, with privacy and human judgment designed into the foundation rather than added later. This page explains how.
Wavn doesn't depend on one model. Each request is routed to the engine best suited for the job, and any engine can be replaced if a better option appears.
Privacy isn't a setting — it's structural. Your content is never used to train models, accounts are isolated from one another, and only the data needed to answer a request is sent to the relevant engine. Provider keys live server-side; they're never exposed to the browser.
On top of the engines sits the part that makes Wavn what it is: a structure for turning thinking into decisions. Content can be marked as a decision, an action item, or an open question, and collects into a live record — so the reasoning behind a conclusion is never lost.
Because no single engine is irreplaceable, Wavn can swap one out without changing the experience. That's not just a technical convenience — it's the core principle: no single model, and no single company, controls your thinking environment.