One model, and everything derived from it stays in step.
Keeping the model, the API spec, the docs, and the infrastructure in agreement across many teams is a losing battle when each one is maintained by hand. Protean captures the model as data and derives the rest, so there is one source of truth to govern.
The model as a machine-readable artifact
At startup, Protean builds an Intermediate Representation of the whole domain: aggregates, events, handlers, flows, and contracts, as structured data your tools can read, diff, and generate from.
A type checker for your architecture
The protean check command runs against a codebase and reports real structural findings: unused commands, aggregates with no write path, events nobody consumes, boundaries grown too large. Run cold against a 100k-line system, every finding was a true positive.
Correctness checked before the first request
Broken references, missing handlers, and event-sourcing violations fail at startup, well before 3am in production. Correctness is a property of the model, not a hope.