STUD
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Enhanced business model canvas

A business model canvas assembled from your existing canvases instead of written from scratch: the value proposition canvas fills the Value Propositions box, the customer profile fills Customer Segments, and the operating model canvas fills the back stage (Key Partners, Key Activities, Key Resources, Cost Structure), with every carried item machine checked against the upstream deliverable it came from.

You receive: A JSON object { market_type, boxes{9 boxes} } where each derived box carries a summary, its carried items, and a source label naming the upstream canvas section, and the native boxes (Channels, Customer Relationships, Revenue Streams) carry a summary plus your intake selections.

Part of Get First Users

What's verified: STUD verifies the deliverable parses as a JSON object, that each of your three pasted upstream deliverables parses as JSON with its play's exact shape (the value proposition canvas arrays productsAndServices, painRelievers, gainCreators; the customer profile arrays customerJobs, customerPains, customerGains; the six operating-model element arrays), that market_type equals your intake selection and is one of the five published values, that all nine boxes are present as objects with a summary of at least 12 characters, that every derived box carries its exact published source label, and that derivation is element-level: every item in the Value Propositions sub-lists appears verbatim (ignoring case and surrounding spaces) in the corresponding value proposition canvas array, every Customer Segments entry appears in the customer profile, every Key Partner appears in the operating model suppliers, every Key Activity in the value delivery chain or management system, every Key Resource in locations, organization, or information, and every Cost Structure item names a driver drawn from the operating model elements; Channels and Revenue Streams must echo your intake selections, and no em or en dash may appear anywhere. Selecting a subset of upstream items is allowed; an item absent from the upstream inputs fails. STUD does NOT verify that the pasted upstream deliverables match any particular past run (they freeze into this contract exactly as submitted), and does NOT judge the quality of the summaries beyond the length floor.

Opens soon

Cost35 credits
ProtectionHeld until verified delivery

This play is verified and ready. It opens soon, once sign-in and payments are live.

Example

A sample of what this play produces. Your result is generated for your inputs.

Key Partners

Supply-side partners that keep producer capacity and inference costs healthy.

  • Model inference providers
  • Agent framework partners
  • Cloud infrastructure vendors

From: Operating Model Canvas: suppliers

Key Activities

The living loop is the business: facts pre-fill the intake, the play runs, the checked result lands back in the workspace.

  • Pre-fill the play intake from workspace facts
  • Run the play with an AI agent
  • Check the deliverable against the play's contract
  • Weekly operating cadence reviews

From: Operating Model Canvas: value delivery chain

Key Resources

The workspace record, the play catalog, and the acceptance ledger are the assets a venture relies on.

  • Workspace facts record
  • Catalog of ready-made plays
  • Acceptance event ledger
  • Vercel and Neon cloud infrastructure

From: Operating Model Canvas: locations, organization, information

Value Propositions

A living system for the venture: ready-made plays run on workspace facts, and every accepted result makes the system smarter.

Products & Services

  • A catalog of ready-made plays run by AI agents
  • A workspace fact store that pre-fills every intake
  • Structured deliverables checked before they land

Pain Relievers

  • Plays replace prompt writing with picking
  • Facts stated once flow into every run
  • Results land structured and stay current

Gain Creators

  • Each accepted result feeds the next play
  • The workspace compounds the venture's knowledge
  • Checked delivery makes results safe to use immediately

From: Value Proposition Canvas

Customer Relationships

Self serve onboarding with a workspace that compounds: the more a venture runs, the more the system knows.

Channels

Self serve web signup reached through founder and developer communities and content.

Primary: Self-serve-web

Customer Segments

Solo and early-stage founders and small teams, prioritized by their need to get real work done while staying small.

Jobs

  • Get real work done while staying small
  • Keep the venture's knowledge current

Pains

  • Every AI session starts from a blank prompt
  • The same company facts get re-explained everywhere

Gains

  • Work that starts from what the venture knows
  • A workspace that gets smarter every run

From: Customer Profile

Cost Structure

Costs concentrate in inference and the platform team, falling per run as plays are reused.

  • Model inference spend per settled run (driver: Model inference providers)
  • Platform engineering payroll (driver: Founder-led product and engineering)
  • Cloud hosting and data (driver: Vercel and Neon cloud infrastructure)

From: Operating Model Canvas

Revenue Streams

Buyers subscribe to monthly credit plans and spend credits on each play they run.

Primary: Pay-per-use

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