AI is everywhere today: ChatGPT and other models are popular, but they are centralized. For Web3, this is a problem: the blockchain ecosystem needs open, decentralized, and privacy-preserving solutions. Sentient is a project that aims to close this gap.

1. The Problem of Centralized AI

• Closed systems. The architecture of the models is inaccessible

• Censorship. Responses are filtered and restricted

• No control over data. User queries are not always kept private

• No Web3 integration. Centralized AI services are not built into decentralized ecosystems

2. The Solution: Sentient

Sentient is creating an open ecosystem layer for Web3 AI:

• OML (Open, Monetizable, Loyal)
  — Open: free access to model logic
  — Monetizable: cryptographic fingerprinting rewards authors for the use of their models
  — Loyal: models remain tied to the community, not corporations

• Fingerprinting (OML-1.0). A library described in the roadmap that enables monetization and proof of model ownership

• Builder Program. A program for developers: they can create agents through the Sentient Agent API and connect to the user ecosystem

3. Sentient Chat — What is Confirmed

• The product name is confirmed. Official sites mention “Sentient Chat” as part of the integration via the Agent API

• Agent interface. The Builder Program specifies that agents can pass intermediate events back to the client

4. Why This Matters for Web3

• Transparency. OML makes models verifiable

• Monetization. Fingerprinting ensures authors are rewarded

• Community. The Builder Program brings developers into the ecosystem, while Sentient Chat provides a user-facing entry point

• Infrastructure. Sentient is building a protocol, not a single closed product

Conclusion

Sentient is Web3-AI infrastructure:

• OML provides openness, monetization, and loyalty of models

• Fingerprinting turns models into verifiable digital assets

• Builder Program engages developers in creating agents and integrating them via API

• Sentient Chat is confirmed as the user-facing interface for working with agents

Unlike centralized AI services, Sentient builds a protocol based on