← Back to Home

Standardization & Institutional Pathway

This document outlines how the Execution Layer evolves from a protocol architecture into a public, institution-compatible standard for real-world AI execution.

Why Standardization Is Necessary

As AI systems transition from producing information to executing real-world actions, they enter the domain of public institutions, legal accountability, and societal trust.

Such systems cannot remain proprietary, opaque, or isolated. They must operate under standards that are auditable, interoperable, and publicly legitimate.

From Protocol to Public Infrastructure

The Execution Layer is designed not to remain a private framework, but to evolve into a public digital infrastructure.

What Is Standardized

Institutional Interfaces

The Execution Layer is designed to interface with existing and emerging institutions:

Phased Standardization Roadmap

Governance in a Public Context

Governance of the Execution Layer evolves as the system matures:

Why This Matters

Without public standards, AI execution risks becoming fragmented, opaque, and incompatible with democratic institutions.

The Execution Layer aims to ensure that as AI enters reality, it does so under structures that are legitimate, auditable, and socially aligned.