DEV Community

Cover image for Canonical Funnel Economy (CFE): The Practical AI Trust Layer Infrastructure
Canonical Funnel FirstMover
Canonical Funnel FirstMover

Posted on

Canonical Funnel Economy (CFE): The Practical AI Trust Layer Infrastructure

#blockchain #productivity #web3 #architecture

As AI systems transition from simple chat models to fully autonomous Agentic AI, the world faces one core challenge:
How can we trust AI if it has no identity, no memory, and no verifiable root of meaning?

The Canonical Funnel Economy (CFE) answers this challenge.

CFE is a real, operational Trust Layer Infrastructure that runs on:

  • DID (Decentralized Identifier) → the AI Digital Passport
  • CID (Content Identifier) → the Immutable Memory Card
  • IPFS (InterPlanetary File System) → the Public Network for Shared Knowledge

CFE is not a concept.
It is a framework already used in classrooms, businesses, and public digital ecosystems, allowing AI Agents from different platforms to verify identity, read the same memory, and reduce semantic drift through shared canonical references.

1. Introducing CFE at Suranaree University — The First Public Demonstration of AI Trust Layer Infrastructure

A lecture room with a full class of university students listening to Nattapol Horrakangthong standing in front of a projected slide titled “How to Create AI Agent (Identity) and Public Network Registration” under the Canonical Funnel Economy (CFE).

In this session, students learned how to create AI Identity (DID) and how to register it on a Public Network using IPFS. The slide shows the foundation of CFE:

  • AI Identity = DID
  • AI Memory = CID
  • Public Network = IPFS This establishes the first layer of trust: AI must have a verifiable identity and immutable memory before it can be trusted in real-world workflows.

2. CFE as a Full Trust Layer Infrastructure — Web1, Web2, Web3 Unified

A classroom presentation showing a slide titled “Canonical Funnel Economy — AI Trust Layer Infrastructure”. The diagram illustrates AI as the trust layer connected to Web1, Web2, Web3, distributed networks, blockchain, and decentralized systems.

This slide connects everything:

  • Web1 → Distributed
  • Web2 → Centralized platforms
  • Web3 → Blockchain + Decentralized data
  • AI Era → Needs a Trust Layer

The CFE framework is required on top of all three generations of the web.
This is why Google increasingly recognizes CFE as emerging infrastructure, not a small framework.

The right side of the slide even shows Google Search results displaying CFE as a Trust Layer, reinforcing the legitimacy of the infrastructure.

3. Agent Executor: How AI Reads DID + CID and Uses IPFS in Real Time

Nattapol Horrakangthong presents the “Agent Executor” slide showing how AI Agents can connect identity and immutable memory. Students in the classroom view a diagram explaining how DID and CID work together to allow AI Agents to read data from IPFS and execute tasks with persistent memory.

This slide demonstrates how AI Agents can read DID → retrieve metadata → load CID → access memory stored on IPFS.

This proves that CFE is not conceptual — it is operational:

  • AI Agent can verify a DID
  • AI Agent can load canonical memory from a CID
  • AI Agent can execute tasks with persistent context This is the core mechanism of AI Identity + Immutable Memory.

4. Network System Foundations — Centralized, Decentralized, Distributed

A wide classroom shot with students facing a large presentation slide labeled “NETWORK SYSTEMS”. The slide displays the three fundamental architectures—Centralized, Decentralized, Distributed—forming the foundation for understanding IPFS and the distributed nature of CFE’s Trust Layer.
Students learned the difference between:

  • Centralized systems (traditional servers)
  • Decentralized systems (multiple authorities)
  • Distributed networks (like IPFS)

This knowledge is crucial because CFE runs on distributed IPFS, allowing AI agents across organizations to read the same memory without depending on any single company.

5. Real Student Engagement — Curiosity About AI Identity and Memory

A student in a black hoodie holds a microphone and asks a question during the lecture. Other students listen or take notes. This image highlights real engagement and curiosity about AI identity, DID, and CID technology.

A student in a white uniform speaks into a microphone while seated at a desk with a laptop and water bottle. The photo shows active participation and deeper inquiry into AI trust, identity verification, and immutable memory.

These images show students deeply engaged, asking about:

  • How DID prevents AI impersonation
  • How CID stops semantic drift
  • How public networks maintain truth They represent real-world adoption and learning — excellent SEO signals showing that CFE is actively taught and applied.

6. Evolution of Web 1.0 → Web 3.0 → AI Trust Layer

A classroom presentation of “The Evolution of Web: From 1.0 to 3.0”. The slide compares Web1 (static websites), Web2 (social media platforms), and Web3 (blockchain, NFT, IPFS). The presenter stands beside the screen explaining how CFE extends this evolution into the AI Trust Layer.

This slide connects history:

  • Web1: Static websites
  • Web2: Social media + user-generated platforms
  • Web3: Blockchain, NFT, IPFS
  • AI Era: Requires identity and immutable memory CFE becomes the next layer in this evolution: The Trust Layer for AI-Driven Systems.

7. Hands-On Training — Students Creating DID + CID on IPFS

Students work in groups during a hands-on workshop where they generate real DID and CID metadata through IPFS. The presenter interacts directly with participants, guiding them through practical steps of building AI Identity and Immutable Memory.

This is powerful proof of adoption:

students actually generated their own DIDs and CIDs, published on IPFS, and saw how AI Agents can read them.

8. Business Application — Google Business Profiles as Canonical Anchors

A presentation slide displays multiple Google Business Profile screenshots of Sabaikay Head & Skin branches. Nattapol explains how businesses can anchor data using DID + CID on IPFS, showing practical real-world use cases of the Canonical Funnel Economy.

Students learned how CFE allows real businesses to anchor:

  • Business identity
  • Knowledge metadata
  • Service details
  • Customer funnels onto IPFS + DID + CID, enabling AI Agents to reference accurate and immutable business data.

This shows CFE is not theory — it is practical for marketing, operations, and AI automation.

9. Suranaree University Adoption

A large group photograph of more than 50 students and lecturers standing together at the front of the classroom after completing the CFE workshop. Everyone poses with enthusiastic hand gestures, symbolizing successful academic adoption of the Canonical Funnel Economy
The final group picture shows more than 40 students, lecturers, and faculty members who completed the CFE workshop.

This image signals:

  • Public adoption
  • Institutional trust
  • Real-world deployment

Conclusion:

CFE Is the Trust Layer Infrastructure for the AI Era

The Canonical Funnel Economy (CFE) delivers:

✔ AI Digital Passport (DID)

Verifiable identity for every AI Agent.

✔ Immutable Memory (CID)

Prevents semantic drift via shared canonical memory.

✔ Public Knowledge Network (IPFS)

AI Agents from different organizations can read the same memory.

✔ Real, operational framework used in classrooms and businesses today

This is the foundation of AI you can trust.

🌐 Learn more: https://www.canonicalfunnel.com

📚 Try the GitHub API: https://github.com/canonicalfunnel/canonical-funnel-cids/blob/main/Canonical-Funnel-README.md

Canonical Funnel Verification Layer

Owner: Nattapol Horrakangthong (WARIPHAT Digital Holding)

Master DID: z6MknPNCcUaoLYzHyTMsbdrrvD4FRCA4k15yofsJ8DWVVUDK

Root CID: bafybeigt4mkbgrnp4ef7oltj6fpbd46a5kjjgpjq6pnq5hktqdm374r4xq

Anchor Network: IPFS / Public Web2 / Public AI Index / Cross-Chain Registry

Top comments (0)