One concept, one definition, and every other page knows where it lives.
Find the definition, architectural role, distinctions, relationships, examples, articles, and implementation patterns behind the terms used across the Enterprise AI Architecture system, each marked with origin and definition version.
What the term means and why it matters.
What it is not, and which adjacent ideas it should not collapse into.
Dependencies, outputs, constraints, articles, patterns, and blueprints.
Use one canonical definition across the architecture
The dictionary keeps product pages, articles, patterns, and blueprints from redefining the same concept slightly differently.
Product pages
Explain local consequence and link to the canonical term.
Articles
Link at first meaningful use and explain architectural argument.
Patterns
Describe implementation approaches and tradeoffs.
Blueprints
Demonstrate the term inside a complete application.
Core terms in the architecture vocabulary
A dictionary entry should do more than define a word. It should explain role, distinctions, relationships, examples, and where to go next.
Execution Graph
Versioned application representation connecting capabilities, data, identity, policy, state, human work, and actions.
Governed Execution
Runtime behavior where identity, authorization, policy, contracts, context scope, approval, effects, and evidence are enforced as execution proceeds.
Governance by Construction
Governance built into system definition and execution rather than attached after application construction.
Context Assembly
The governed construction of information supplied to a reasoning or decision component.
Behavior Intelligence
Analysis of application behavior by connecting execution evidence to definitions, authority, context, decisions, policy, state, actions, and outcomes.
Human Approval State
Durable state recording the proposal, evidence, versions, approver scope, decision, and resumption semantics.
Terms remain distinct by responsibility
Organizing terms by domain makes relationships easier to inspect without flattening everything into one glossary.
Application and representation
AI Application System, Shared Application Model, Visual Architecture, Execution Graph, Published Graph, Execution Instance.
Runtime and capability
Execution Runtime, Capability Node, Capability Invocation, Schema Contract, Typed Execution, Side-Effect Boundary.
Identity and governance
Continuous Authority, Declarative Governance, Governance by Construction, Policy Decision Evidence, Human Approval State.
Context and data
Context Assembly, Context Package, Context Provenance, Decision Feature, Operational Collections, Governed Query.
Evidence and investigation
Execution Lineage, Decision Lineage, Behavior Intelligence, Behavior Replay, Effect Receipt.
Models and automation
Deterministic-First Routing, Confidence Escalation, Progressive Automation, Workload Deployment Profile.
Keep enterprise AI vocabulary coherent as the architecture evolves.
Use the dictionary as the canonical owner for terms, definitions, relationships, examples, patterns, and blueprint links.