Three ways in. All of them assume the same starting point: that the work has to be described before it can be mechanized, measured, or improved.
We organize a body of your work before you mechanize it. The output is a set of Work Composition descriptions covering real tasks, an account of where judgment sits, and a measurement scheme for the parts you intend to delegate.
Every engagement is instrumented. You keep the descriptions; the lab retains the right to publish findings in aggregate and anonymized form. That condition is not negotiable, because it is what makes this research rather than consulting.
For organizations, funders, and bodies with a measurement question that does not yet have an answer. Scope is agreed in advance and results are published. We do not undertake work whose findings are contingent on the sponsor's preference.
The agentic AI supervisor course runs for individuals through Maven and for corporate cohorts directly. Participants work on their own tasks and leave with completed canvases.
Write with the question you are trying to answer. A paragraph is enough to tell whether this is a fit.
