End-to-end use cases
Scenario tutorials
These tutorials start with a real-world problem and follow it through ENTITY's full fabric: actor identity, delegated authority, machine-readable rights, governed information, market execution, evidence, economic consequence and recovery.
Read these after the core tutorials. The scenarios intentionally combine subsystems. They do not collapse important boundaries: an AI agent does not become the authority root, a listing is not a legal title determination, trade execution is not external payment, provenance does not invent ownership, and recovery does not create missing evidence.
AI agent licenses a governed datasetHuman/organization authority → delegated agent → rights evaluation → market action → entitlement → usage evidence.License data for training and derivationSeparate inspect/query/train/derive rights, record model-use scope, preserve downstream lineage and economic consequence.Turn accepted engineering into an economic lineageExternal problem → contribution → review/CI → acceptance → contribution instrument/service relationship → settlement evidence.Exchange governed data between organizationsOrganization identities, disclosures, RFQ/order flow, entitlement, controlled usage, audit and portable market state.Recover from zero infrastructureRestore identity, governed information and economic state into a clean environment without silently changing authority.
The invariant across every scenario
WHO MAY ACT → WHAT RIGHT EXISTS → WHAT INFORMATION/ASSET IS INVOLVED → WHAT EVENT OCCURRED → WHAT EVIDENCE EXISTS → WHAT VALUE/OBLIGATION FOLLOWED → CAN IT BE RECOVERED?