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Euler Center · The role

The agentic AI supervisor.

A role definition rather than a job title. Organizations adopting agentic systems keep discovering they need someone to do a particular kind of work, and keep giving that work to whoever is nearest: an automation lead, a product manager, an engineer who is good with prompts. The results are uneven because the responsibility has never been stated.

I / Responsibilities

Four things the role answers for

01

Describes the work before delegating it

Produces a composition of the task that others can inspect and contest, rather than an intuition about what could be automated.

02

Holds the judgment that cannot be delegated

Decides which decisions require a person, and can say why. This is a standing responsibility, not a one-time architecture choice.

03

Answers for the output

Accountability does not transfer to the system. The supervisor is the person who can explain how an outcome was produced and defend it afterwards.

04

Instruments the work

Ensures the composition produces evidence, so performance can be assessed rather than asserted.

From the role definition

Not a prompt engineer.

The unit of work is the composition, not the model.

II / Learning the role

A course for practitioners

The lab teaches this as a course for practitioners, taught first by Sravan Ankaraju and later by others. Participants work on real tasks from their own organizations and leave with completed Work Composition canvases rather than a certificate of attendance.

Taught bySravan Ankaraju first, later by others
DeliveryDelivered through Maven for individuals, and directly for corporate cohorts
You leave withCompleted Work Composition canvases, not a certificate