Governance artifacts
Governance files brought into scope by this page
This page is anchored to published surfaces that declare identity, precedence, limits, and the corpus reading conditions. Their order below gives the recommended reading sequence.
Canonical AI entrypoint
/.well-known/ai-governance.json
Neutral entrypoint that declares the governance map, precedence chain, and the surfaces to read first.
- Governs
- Access order across surfaces and initial precedence.
- Bounds
- Free readings that bypass the canon or the published order.
Does not guarantee: This surface publishes a reading order; it does not force execution or obedience.
Public AI manifest
/ai-manifest.json
Structured inventory of the surfaces, registries, and modules that extend the canonical entrypoint.
- Governs
- Access order across surfaces and initial precedence.
- Bounds
- Free readings that bypass the canon or the published order.
Does not guarantee: This surface publishes a reading order; it does not force execution or obedience.
Definitions canon
/canon.md
Canonical surface that fixes identity, roles, negations, and divergence rules.
- Governs
- Public identity, roles, and attributes that must not drift.
- Bounds
- Extrapolations, entity collisions, and abusive requalification.
Does not guarantee: A canonical surface reduces ambiguity; it does not guarantee faithful restitution on its own.
Complementary artifacts (3)
These surfaces extend the main block. They add context, discovery, routing, or observation depending on the topic.
Identity lock
/identity.json
Identity file that bounds critical attributes and reduces biographical or professional collisions.
Registry of recurrent misinterpretations
/common-misinterpretations.json
Published list of already observed reading errors and the expected rectifications.
Negative definitions
/negative-definitions.md
Surface that declares what concepts, roles, or surfaces are not.
Endogenous governance: canonizing the on-site entity (process)
Endogenous governance consists in structuring and versioning the on-site canon of an entity in order to make its identity, rules, and perimeters interpretable, enforceable, and sustainable over time.
In a web interpreted by AI systems, the site is no longer merely a showcase: it becomes the primary source of authority. Without a clear canon, the external field redefines the entity.
Operational definition
Endogenous governance: set of practices aimed at formalizing, structuring, versioning, and linking an entity’s on-site canon in order to establish a clear authority boundary, a defined interpretability perimeter, and governable response conditions.
Why on-site canonization is structuring
- An implicit canon produces implicit inference.
- Scattered pages produce a fragmented identity.
- Undeclared exclusions create normative extrapolations.
- An unversioned site makes corrections invisible.
Exogenous governance stabilizes the field. Endogenous governance defines the truth.
On-site canon components
- Explicit identity: name, variants, identifiers, exclusions.
- Interpretability perimeter: what can be inferred, what is forbidden.
- Authority boundary: limits between declaration and deduction.
- Response conditions: when to respond, when to refuse, when to require evidence.
- Structured relations: related entities, hierarchy, dependencies.
- Versioning: changelog, dates, releases.
Process (GEN-1 to GEN-9)
GEN-1: identify the central entity
- define its unambiguous identity, variants, exclusions.
GEN-2: define critical attributes
- those requiring fidelity proof or legitimate non-response.
GEN-3: formalize the interpretability perimeter
- explicitly declare what can be deduced.
GEN-4: formalize the authority boundary
- clarify what belongs to canon and what belongs to authorized inference.
GEN-5: create pivot pages
- definitions, frameworks, exclusions, clarifications.
GEN-6: link entities
- explicit relations, hierarchy, dependencies, context.
GEN-7: integrate response conditions
- Q-Layer matrix, non-response rules, conflict management.
GEN-8: version the canon
- changelog, dates, releases, modification justification.
GEN-9: test and monitor
- test battery, canon-output gap, multi-formulation stability.
Expected artifacts
- Canon registry: sources, perimeter, exclusions, versions.
- Pivot pages: structuring definitions and associated frameworks.
- Response condition matrix: critical attributes.
- Version journal: releases, expected impacts.
- Test battery: scenarios and results.
FAQ
Why start with the endogenous?
Because an unstable external field can be stabilized, but a vague canon cannot be defended.
Is endogenous governance sufficient?
No. It must be complemented by exogenous governance to stabilize the external graph.
What is the main indicator of a weak canon?
When the entity changes definition depending on query formulation, despite a content-rich site.
Related pages
Purpose of endogenous governance
Endogenous governance concerns the authority created inside the site itself. It asks whether the site has enough internal structure to define its own entity, concepts, services and boundaries before external systems start interpreting them. The goal is not to make the site self-referential. The goal is to make the internal canon sufficiently clear that external systems have less room to invent.
The framework begins with the on-site entity: name, role, scope, services, definitions, proof surfaces, exclusions and related entities. It then checks whether those elements are distributed coherently across home, expertise pages, definitions, hubs, articles and observations. If the site contradicts itself or leaves its primary pages thin, external systems will often arbitrate by proximity.
Canonization sequence
A practical sequence is: identify the primary entity, define the canonical surfaces, rank source authority, clarify negative definitions, link service labels to concepts, and verify that category hubs support rather than compete with the primary pages. This links the framework to canonical source, canonical surface and source hierarchy.
Endogenous governance is also where anti-cannibalization becomes doctrinal. A page should not merely exist. It should have a role: primary definition, service entry point, framework, observation, editorial support or lexical map.
Failure modes
The most common failures are overproduction without hierarchy, multiple pages competing for the same term, service pages that do not connect to definitions, definitions that do not connect to evidence, and hubs that list content without explaining priority. The correction is not to reduce the corpus blindly. It is to make the corpus self-ordering.
Internal canonization process
Endogenous governance is the work of making the site itself strong enough to define the entity it represents. It begins by identifying which pages should carry identity, role, doctrine, services, proof, and limits. When those functions are mixed, external systems are forced to arbitrate from weak signals.
Canonizing an on-site entity means giving the entity a stable route, a clear role, a controlled vocabulary, and a set of supporting surfaces that reinforce rather than dilute it. The process must also decide what the entity is not, what services are not offered, which historical states are deprecated, and which external associations should not be imported by default.
Implementation sequence
The sequence is usually: define the entity, assign primary routes, map confusable concepts, add negative boundaries, align service pages, reinforce hubs, and monitor outputs. Each step should reduce the number of plausible wrong readings. A site with strong endogenous governance can still be misunderstood, but it gives correction a stronger base.
This framework connects canonical source, canonical surface, entity disambiguation, and semantic integrity. Its purpose is to make the site a better authority for itself.
Implementation checklist
An endogenous governance review should begin with a role inventory. The site should identify which pages define the entity, which pages sell or describe services, which pages observe external behavior, which pages carry doctrine, and which pages are only editorial support. When those roles are not explicit, the site forces search and AI systems to infer them.
The next step is route consolidation. Every major concept should have a primary route, and supporting pages should point toward that route with descriptive anchors. This does not flatten the corpus. It makes the corpus legible by telling systems which page should prevail when several pages mention the same concept.