One framework. Multiple readable surfaces.

The same governed model that people read on this site is published as connected, versioned data for AI systems, research workflows, and implementation tools.

Current release

Schema: v1.0.0
Release: v1.0.0
Canon: v0.5.0
Published: 2026-08-04

Layers

Laws

Definitions

Metrics

Knowledge objects

Use cases

Articles

Published resources

Choose the depth the work requires.

Start with the concise LLM guide. Use the complete graph when stable IDs, relationships, provenance, and full content are required.

Complete organizational intelligence graph

/canon.json

Seven-layer framework

/framework.json

Nine canonical laws

/laws.json

Canonical and editorial definitions

/definitions.json

Operating-model metrics

/metrics.json

Reusable knowledge objects

/knowledge-objects.json

Applied enterprise use cases

/use-cases.json

Published editorial articles

/articles.json

Concise model-facing guide

/llms.txt

Expanded model-facing reference

/llms-full.txt

Published article feed

/rss.xml

Release manifest and checksums

/organizational-intelligence-manifest.json

Graph and catalog JSON Schema

/organizational-intelligence.schema.json

Release notes and change history

/organizational-intelligence-releases.json

Canon stays authoritative.

Layer names, laws, maturity, autonomy language, and voice rules retain their source package, version, commit, and checksum provenance.

Read the specification

Relationships are explicit.

Every connection uses a small controlled vocabulary and points to an existing stable object ID. Dangling references fail the publishing contract.

depends_onsupportsmeasuresapplies_torelated_tosupersedesevidenced_by

Releases are verifiable.

Every published file has a SHA-256 checksum and byte count in the manifest. Builds fail when IDs collide, references break, counts drift, or files change unexpectedly.

Open the manifest