Vision
AI × Blockchain as One Fabric
I do not treat AI and blockchain as separate stacks. I want them to behave as one fabric: models that reason, cryptography that verifies, and a product surface that stays quiet and clear.
Unifying Idea
Reason with Proof
AI is good at inference and pattern finding. It is weak on provenance. Blockchains are good at provenance and settlement. They do not reason. I want composition, not a bolt on. AI proposes. Cryptography disposes. If an output matters, it should carry context, attribution, and a verifiable trail that a person can inspect without friction.
Near Term
First Thin Slice
I am early in this work. The first concrete step is a small and useful slice.
Term Extraction Engine
Extract precise terms from technical sources in AI and blockchain, include provenance, confidence, and structure that downstream tools can reuse.
- Hybrid approach, heuristics with embeddings and light rules
- Record spans, model version, and parameters
- Evaluate with a small curated set, report precision and recall
Proof of Terms
A web3 dictionary powered by the engine. Each term links to sources and versions. For entries that warrant it, add on chain integrity. The goal is a calm reading experience with clear provenance.
- Searchable glossary with status and history
- Simple curation loop for edits and approvals
- Optional chain commit for critical terms
Protocols
Agentic Internet Architecture (Concept)
A layered view of how AI and blockchain operate as one fabric. Each layer focuses on a single responsibility and composes with the others.
Application Layer
(Decentralized Apps, Browsers, AI Agents)
AI Protocol Layer
(Autonomous Request Handling, Packetization, Optimization)
Self-Learning Network Layer
(Agent-based TCP/IP Routing, Traffic Learning)
Blockchain Trust Layer
(Secure Identity, Provenance, Consensus)
Zero-Knowledge Privacy Layer
(Proofs for Packet Handling, Identity, Metadata)
Physical Network Layer
(Hardware, Fiber, Spectrum, Edge Devices)
Philosophy
How I Work
Truthful by design
If it matters, make it attestable. Hashes, signatures, provenance.
Privacy with purpose
Local or edge first. Enclaves or ZK when proof is required and data should stay private.
Human before hype
Plain language, quiet UI, clear controls. Admit uncertainty.
Composability
Small primitives that combine into clear systems. Refactor often.
Thin slices
Ship, learn, adjust. Keep the log honest.
Arc
Where This Leads
The long arc is a verifiable intelligence fabric. A blockchain based infrastructure for AI, and an AI based infrastructure for future blockchains. Systems that are decentralized, explainable, and ethical by construction. Trust is not assumed. It is earned.
Follow the work
I will share research notes, prototypes, and failures in the Lab Journal.