What is Intuition (TRUST)?

Deep Dive

1. Purpose and Value Proposition

Intuition addresses the fragmentation and centralization of online information, where valuable insights are trapped in siloed platforms or individual minds. By incentivizing sharing through tokenized rewards and reputation building, it turns knowledge into a tradeable asset class—termed "InfoFi." For example, users earn TRUST by providing early endorsements (e.g., product reviews) that gain traction, while AI systems leverage this trust layer to source credible data. This shifts control from tech giants to users, enabling portable reputations and economically aligned information sharing.

2. Technology and Architecture

The protocol combines on-chain transparency for data verification (e.g., staked claims) with off-chain indexing for scalability. Its semantic "web of trust" lets users carry their preferences across apps—imagine seeing friends' movie ratings on IMDb or trusted contract audits in your crypto wallet. APIs/SDKs allow developers to integrate this layer, enabling context-aware filtering (e.g., "show only critiques from experts I follow"). This interoperability replaces centralized data monopolies with user-centric, composable infrastructure.

3. Tokenomics and Governance

TRUST tokens power network operations: users stake them to vouch for information accuracy, earning rewards when their contributions are reused. Token holders govern protocol upgrades, ensuring community-driven evolution. The system avoids inflation risks by tying rewards to real-world query demand—high-value data earns more, aligning incentives with utility.

Conclusion

Intuition reimagines information as a user-owned, economically incentivized public good—where trust is decentralized, portable, and programmable. What novel applications could emerge when reputation and insights become as liquid as currency?