How boutique tutoring agency are reshaped as AGI capability advances.

Roughly 85% of the work in Boutique Tutoring Agency is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: With no child JobTypes seeded, the assessment relies on the company type name and description. The roles (Curriculum Developer, Diagnostic Analyst, Scheduling Coordinator, Client Billing) and departments heavily emphasize information processing, remote-capable advising, and administrative desk work. As this value-producing work is predominantly knowledge-based and easily executed via digital channels, a band-center digital scalar is applied.
grounded in the economy graph · digital scalar 0.85 · digital
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Decomposed as an executable program, Boutique Tutoring Agency runs 2 core processes — each a candidate for the Code / Generative / Agentic / Human split, with the agentic and code-shaped steps the first to come off human headcount.
Boutique Tutoring Agency is organized into 7 departments. Read as functions of one executable business, each department is a unit of work whose back-office share is increasingly delivered by earned-autonomy digital labor.
The operating model of Boutique Tutoring Agency resolves to 7 concrete tasks. Sorted into Code / Generative / Agentic / Human, this task ledger is exactly where the automation frontier is drawn.
Boutique Tutoring Agency sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Boutique Tutoring Agency inherits.
The outcomes here that AI agents now deliver directly, where revenue scales with compute, not headcount.
Boutique Tutoring Agency uses 6 products to deliver its outcomes — the toolchain whose work an autonomous stack absorbs as the service becomes software.
Which of this work becomes digital labor — performed under typed authority, promoted to autonomy on track record.
Boutique Tutoring Agency staffs 8 job types — the roles that, decomposed to tasks, are first in line to run as supervised-then-autonomous digital labor.
The software here going agent-consumable — where the API, not the UI, becomes the way the work gets done.
Boutique Tutoring Agency relies on 6 products. The headless dimension of each — whether an agent can call it without a screen — is what decides how much of this work goes hands-free.
The software Boutique Tutoring Agency reaches for already exposes 12 agent-callable actions (via uses → exposedBy) — typed surfaces an agent invokes directly, no human screen in the loop. The work routes to the API, not the UI.
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
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