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WebMEM™

The Protocol for Structuring, Delivering, and Conditioning Trust-Scored AI Memory on the Open Web

  • Primer
  • Memory-First
  • Protocols
    • Digest Endpoint Specification
    • ProvenanceMeta Specification
    • AI Retrieval Feedback Loop Specification
    • SDT Specification
    • Semantic Feedback Interface (SFI) Specification
    • Glossary Term Protocol (GTP) Specification
    • Examples
  • RFC
  • Glossary
  • About
    • WebMEM License
    • Mission
    • Charter

Procedure Fragment

Procedure Fragment is a structured, AI-ingestible representation of a specific, repeatable process or workflow, expressed in a format that allows AI systems to retrieve, follow, and explain it step-by-step. It encodes the procedural steps, conditions, and dependencies along with provenance and trust metadata to ensure consistent execution across retrieval environments.

Unlike unstructured process documentation, a Procedure Fragment is designed for machine reasoning and action—making it reusable in guided interactions, automated workflows, and compliance-driven contexts without manual reinterpretation.

🧠 Full Definition

A Procedure Fragment typically includes:

  • Procedure name — the unique label or identifier
  • Step sequence — ordered list of actions to complete the process
  • Conditions and branches — logical gates and variations based on user input or system state
  • Required inputs — data or resources needed before execution
  • Expected outputs — results or deliverables from the process
  • Provenance metadata — source, author, publication date, and license
  • Trust Layer — authority level, confidence score, and applicable context
  • Semantic relationships — links to Policy Fragments, Eligibility Fragments, and Glossary Fragments

This format ensures the procedure is both human-comprehensible and machine-operable, reducing ambiguity in execution.

📌 Key Characteristics of Procedure Fragment

  • Encodes step-by-step instructions in structured formats (YAML, JSON-LD, TTL)
  • Supports conditional branching for adaptive workflows
  • Integrates with trust and provenance metadata for credibility
  • Links to policies and eligibility criteria for compliance alignment

💡 Why It Matters

For AI-driven task execution and guidance, clarity and precision are critical. Procedure Fragments enable agentic systems to follow and explain processes exactly as intended—ensuring compliance, repeatability, and traceability.

They are especially valuable in regulated industries, technical support, onboarding processes, and public service delivery.

🌐 WebMEM Perspective

In WebMEM, Procedure Fragments sit in the Reasoning Layer of the Visibility Stack, often paired with Policy Fragments and Eligibility Fragments to create complete, executable memory objects for agentic workflows.

🗣️ Example Use

“We published a Procedure Fragment for submitting Medicare enrollment forms so AI agents can walk users through the process step-by-step.”

🔗 Related Terms

  • Policy Fragment
  • Eligibility Fragment
  • Glossary Fragment
  • Functional Memory
  • Trust Layer


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Table of Contents

  • Adversarial Trust
  • Agentic Execution
  • Agentic Reasoning
  • Agentic Retrieval
  • Agentic System
  • Agentic Systems Optimization (ASO)
  • Agentic Web
  • AI Mode
  • AI Retrieval Confidence Index
  • AI Retrieval Confirmation Logging
  • AI TL;DR
  • AI Visibility
  • AI-Readable Web Memory
  • Canonical Answer
  • Citation Authority
  • Citation Casting
  • Citation Context
  • Citation Graph
  • Citation Hijacking
  • Citation Scaffolding
  • Co-Citation Density
  • Co-occurrence
  • Co-Occurrence Conditioning
  • Conditioning Half-Life
  • Conditioning Layer
  • Conditioning Strategy
  • Contextual Fragment
  • Data Tagging
  • data-* Attributes
  • Data-Derived Glossary Entries
  • DefinedTerm Set
  • Directory Fragment
  • Distributed Graph
  • Domain Memory Signature
  • EEAT Rank
  • Eligibility Fragment
  • Embedded Memory Fragment
  • Entity Alignment
  • Entity Relationship Mapper
  • Entity-Query Bond
  • Ethical Memory Stewardship
  • Explainer Fragment
  • Format Diversity Score
  • Fragment Authority Score
  • Functional Memory
  • Functional Memory Design
  • Glossary Conditioning Score
  • Glossary Fragment
  • Glossary-Scoped Retrieval
  • Graph Hygiene
  • Graph Positioning
  • High-Trust Surface
  • Implied Citation
  • Ingestion Pipelines
  • Installed Memory
  • JSON-LD
  • Machine-Ingestible
  • Markdown
  • Memory Conditioning
  • Memory Curation
  • Memory Federator
  • Memory Horizon
  • Memory Node
  • Memory Object
  • Memory Reinforcement Cycle
  • Memory Reinforcement Threshold
  • Memory Surface
  • Memory-First Publishing
  • Microdata
  • Misreflection
  • Passive Trust Signals
  • Persona Fragment
  • Personalized Retrieval Context
  • Policy Fragment
  • Procedure Fragment
  • PROV
  • Public Memory
  • Python Fragment
  • Query-Scoped Memory Conditioning
  • Reflection Decay
  • Reflection Log
  • Reflection Loop
  • Reflection Sovereignty
  • Reflection Watcher
  • Reinforced Fragment
  • Resilient Memory
  • Retrievability
  • Retrieval Bias Modifier
  • Retrieval Chains
  • Retrieval Fidelity
  • Retrieval Fitness Dashboards
  • Retrieval Share
  • Retrieval-Augmented Generation (RAG)
  • Same Definition Across Surfaces
  • Schema
  • Scoped Definitions
  • Scored Memory
  • Semantic Adjacency Graphs
  • Semantic Amplification Loop
  • Semantic Anchor Layer
  • Semantic Conditioning
  • Semantic Credibility Signals
  • Semantic Data Binding
  • Semantic Data Template
  • Semantic Digest
  • Semantic Persistence
  • Semantic Persistence Index
  • Semantic Proximity
  • Semantic Retrieval Optimization
  • Semantic SEO
  • Semantic Trust Conditioning
  • Semantic Trust Explainer
  • Semantic Visibility Console
  • Signal Weighting
  • Signal Weighting Engine
  • Structured Memory
  • Structured Retrieval Surface
  • Structured Signals
  • Surface Authority Index
  • Surface Checklist
  • Temporal Consistency
  • Three Conditioning Vectors
  • Topic Alignment
  • Training Graph
  • Trust Alignment Layer
  • Trust Anchor Entity
  • Trust Architecture
  • Trust Drift
  • Trust Feedback Record (TFR)
  • Trust Footprint
  • Trust Fragment
  • Trust Graph
  • Trust Layer
  • Trust Marker
  • Trust Node
  • Trust Publisher
  • Trust Publisher Archetype
  • Trust Publishing
  • Trust Publishing Markup Layer
  • Trust Scoring
  • Trust Signal
  • Trust Surface
  • Trust-Based Publishing
  • TrustRank™
  • Truth Marker
  • Truth Signal Stack
  • Turtle (TTL)
  • Verifiability
  • Vertical Retrieval Interface
  • Visibility Drift
  • Visibility Integrity
  • Visibility Stack
  • Visibility System
  • XML

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