Integrating TNS with Intuition

4. Governance
1

Summary

This proposal suggests integrating Trust Name System (TNS) with the Intuition protocol to introduce human-readable trust identities within the Intuition trust graph.

TNS would allow users to register readable names (e.g., alice.trust) that resolve to their Intuition identity. These names could then be referenced in claims, attestations, and trust relationships, improving usability and social discoverability across the ecosystem.

Motivation

The Intuition protocol enables a decentralized trust graph where users create claims and attestations about identities and entities.

However, interacting with identities through wallet addresses or opaque identifiers can reduce readability and usability.

A naming layer like TNS would:

  • Improve the user experience when referencing identities
  • Make trust relationships easier to understand
  • Enable better discovery of reputable contributors

Human-readable identities would help make the trust graph more accessible to users, developers, and communities.

Proposal

Integrate Trust Name System (TNS) as a naming layer that maps human-readable names to Intuition identities.

Example:

Instead of referencing:

0x84a7...92c1

Users could reference:

alice.trust
researcher.trust
builder.trust

These names would resolve to the identity node within the Intuition trust graph.

Benefits

Improved UX

Readable names simplify the creation of claims and attestations.

Example claim:

“alice.trust is a reputable smart contract auditor.”

Better Trust Discovery

Human-readable identities make it easier to explore trusted actors within the network.

Ecosystem Tooling

Developers could build tools such as:

  • Reputation dashboards
  • Identity explorers
  • Curated trust lists
  • Expert discovery platforms

Implementation Approach

The recommended approach is to implement TNS as a resolver layer that maps:

TNS Name → Intuition Identity → Trust Graph

This approach minimizes protocol changes while enabling flexible integrations.

Next Steps

  1. Gather feedback from the Intuition community
  2. Define the technical design for the resolver
  3. Build a prototype integration
  4. Test deployment within the ecosystem
  5. Launch developer tooling and integrations

Conclusion

Integrating TNS would introduce a human-readable identity layer for the Intuition trust graph, improving usability, discovery, and reputation signaling within the ecosystem.

Feedback from the Team and community is welcome to refine the proposal and explore the best path toward implementation.

Here is the github link to the TNS Integration pull request