R2R (Request-to-Result) is the core protocol of the Execution Layer. It enables machines to formally request actions, execute them in reality, verify outcomes, and accumulate trust.
Modern AI systems can decide what to do, but lack a universal way to ensure that actions actually happened, are institutionally valid, and can be trusted by others.
R2R exists to make execution a first-class, machine-operable object.
Request → Execution → Result → Proof → Trust
Each stage is formally defined and governed by the protocol.
A Request specifies what outcome must be achieved, not how. It includes target state, constraints, validity conditions, and domain context.
Execution represents the actual performance of actions in reality. R2R does not prescribe how execution happens — only how it is structured and recognized.
A Result is a formal claim about what has occurred. It is deterministic, domain-scoped, and claim-bound.
Proof binds the Result to reality through cryptographic signatures, institutional attestations, sensor data, or legal documents.
Trust is accumulated through verified executions. It is composable, transferable, and machine-readable.
R2R defines a strict type system governing what kinds of requests, executions, results, and proofs are valid within the Execution Layer.
Semantics ensure that execution is meaning-bound, not just action-bound. Without semantics, execution is automation. With semantics, execution becomes institutional.
R2R is governed, not owned. It supports multi-stakeholder governance, jurisdiction-aware compliance, and protocol evolution without central capture.
Developers interact with R2R through protocol-native APIs for submitting requests, tracking execution, verifying results, accessing proofs, and querying trust.
BorderFlow is the initial steward and reference implementation of R2R. We do not own the protocol — we build its first operational form.
The future of AI is not better reasoning. It is legitimate execution.