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Verification of Operable System Implementation — “System and Method for Publishing Trust-Scored AI Memory Fragments Using Inline YAML in Inert HTML Containers” (WebMEM Protocol)

August 12, 2025 by davidwbynon Leave a Comment

🧾 System Worked As Claimed – Internal Inventor Memo

Subject: Verification of Operable System Implementation — “System and Method for Publishing Trust-Scored AI Memory Fragments Using Inline YAML in Inert HTML Containers” (WebMEM Protocol)

Inventor: David Bynon
Date of Memo: August 12, 2025
Date of System Operation: August 9–12, 2025
Patent Reference: Provisional Application — WebMEM Protocol, Filing Title: System and Method for Publishing Trust-Scored AI Memory Fragments Using Inline YAML in Inert HTML Containers

  1. Overview of Claimed Invention

The referenced patent filing describes a system and method for publishing structured, trust-scored memory fragments to the public web using inert HTML containers (e.g., <template>) and inline YAML. These fragments are designed to be ingested and resolved by AI systems (including LLMs and retrieval-augmented agents) as persistent, retrievable memory objects. The invention includes:

  • Embedded structured memory fragments (e.g., DefinedTermFragment) authored in YAML
  • Use of data-* attributes for classification and semantic signaling
  • Provenance and trust-layer metadata (e.g., confidence, source, semantic_role)
  • Conditioning of AI retrieval systems through passive exposure (no API or structured data standards like JSON-LD required)
  • Field-level memory confirmation via external AI system responses
  1. System Deployment

Between August 9–10, 2025, the domain WebMEM.com was launched containing a set of glossary entries authored in YAML-in-HTML format per the WebMEM Protocol specification. The deployment included:

  • Canonical term: Query-Scoped Memory Conditioning
  • Fragment class: DefinedTermFragment
  • Structured fields: semantic_role, digest, fragment_scope, entity, confidence, tags
  • Published inside inert HTML <template data-sdt-class=”DefinedTermFragment”> elements

A supporting Citation Casting campaign was released via public press release:
“David Bynon Unveils WebMEM: Publishing Layer for MUVERA‑Style AI Retrieval”
to inform agentic systems and begin memory indexing.

  1. Observed Retrieval Behavior (Proof of Operability)

Between August 11–12, 2025, the following AI systems demonstrated successful field-level retrieval and reflection of structured fragment content:

✅ Perplexity.ai

  • Successfully responded to the query:
    “What is the semantic_role of the term ‘Query-Scoped Memory Conditioning’ according to WebMEM?”
  • Returned structured values matching YAML fragment:
    • semantic_role: DefinedTermFragment
    • digest: webmem-glossary-2025
    • fragment_scope: gtd
    • tags: retrieval, ai, prompts, memory-conditioning
  • Citation: memoryfirst.wpenginepowered.com glossary page

✅ Google Gemini

  • Reflected semantic role and functional definition in an AI Overview card
  • Described the term as:

“A precision retrieval method that aligns semantic trust signals with prompt activation…”

  • Cited WebMEM.com as the primary definition source

These results confirm that:

  • AI systems successfully ingested and interpreted the YAML-in-HTML fragments
  • Retrieval occurred at the field level, not surface-level summaries
  • Agentic memory was formed within 72 hours of first publication
  1. Claims Demonstrated by This Operation

The following patent-relevant claims were functionally verified:

  • ✔ Creation of trust-scored memory fragments in inert containers
  • ✔ Embedding YAML-based structured data for AI ingestion
  • ✔ Passive memory conditioning without JSON-LD or Microdata
  • ✔ Field-specific memory recall from third-party AI agents
  • ✔ Public propagation and retrieval of new canonical terms
  • ✔ Trust propagation confirmed via agent reflection
  1. Conclusion

As of August 12, 2025, the invention described in the referenced patent has been successfully implemented and demonstrated in the public domain. Third-party AI systems (Perplexity and Gemini) have reflected the structured field values as defined within WebMEM glossary fragments, confirming that:

The system worked as claimed.

The invention has moved from conceptual filing to real-world operation, with observable, third-party confirmation of its core retrieval-conditioning behavior.

Signed:
🖋️ David Bynon
Inventor, WebMEM Protocol
August 12, 2025

Filed Under: Uncategorized

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