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.
Dual Web index
/dualweb-index.md
Canonical index of published surfaces, precedence, and extended machine-first reading.
LLMs.txt
/llms.txt
Short discovery surface that points systems toward the useful machine-first entry surfaces.
SSA-E + A2 + Dual Web principles
This page presents the architectural principles that translate the Doctrine into a formalized conceptual framework. SSA-E, A2, and Dual Web constitute neither a method to replicate, nor a procedure, nor a promise of result. They describe a doctrinal framework applied to information architecture in an interpreted and agentic web. This framework now explicitly includes an additional discipline: response legitimacy. A response is not a default state. It becomes legitimate only when minimum interpretive conditions are met.
Status of this framework
The principles presented here are not steps, nor an operational framework. They translate, at a conceptual level, the invariants established in the Doctrine: error space reduction, explicit perimeters, readable hierarchies, assumed exclusions, and governance of interpretation. These principles are not universal in the procedural sense. They constitute conceptual adaptations of the Doctrine to complex, evolving, and versioned environments. This framework aims to make informational environments interpretable without abusive extrapolation, and to make explicit the conditions under which a response is legitimate.
SSA-E — Semantic Stabilization Architecture (Enhanced)
SSA-E designates a semantic stabilization architecture. It aims to reduce interpretive drifts by making the fundamental structures of information explicit. The central principles of SSA-E rest on:
- clearly defined perimeters
- explicit and coherent hierarchies
- documented relations
- assumed exclusions.
SSA-E does not seek to artificially enrich the signal, but to limit plausible erroneous readings.
Q-Layer — governance of response conditions
The Q-Layer designates a transversal layer of interpretive legitimacy. It governs the act of response, not the content as such. It formalizes a simple rule: the presence of content does not automatically authorize a response. The Q-Layer intervenes when:
- context is insufficient or ambiguous
- multiple plausible readings exist without canonical disambiguation
- sources contradict each other without an explicit resolution rule
- responding would require inventing unpublished information.
In these cases, the correct outcome may be clarification or legitimate non-response.
A2 — Adaptive Accessibility
A2 designates a layer of contextual interpretive rules. It defines the conditions under which information is accessible, understandable, or usable depending on audiences and systems. The objective is not to restrict access, but to constrain interpretation without manipulating reading. A2 intervenes notably when the absence of an explicit framework leaves room for default inferences.
Dual Web
The Dual Web principle rests on an architectural separation between two distinct surfaces:
- a human surface, consultable and narrative
- a machine surface, interpretable and structured.
Each surface is designed for its audience, without reciprocal compromise. This separation prevents the constraints necessary for machine interpretation from degrading human readability, and vice versa.
Relationship to the Doctrine
The SSA-E, Q-Layer, A2, and Dual Web principles derive directly from the Doctrine. The Doctrine establishes the invariants. These principles translate them into an applicable conceptual framework, adapted to environments where information is read, interpreted, and reconstructed by automated systems. In case of conflict between this page and the Doctrine, the Doctrine prevails.
Anchoring
For the doctrinal framework: /doctrine/. For the machine-first canon: /machine-first-canon/. For canonical definitions: /definitions/. For applicable frameworks: /frameworks/.