I think the next layer of the internet is not another search engine. It’s a trust graph. A machine-readable layer where identities, assets, claims, credentials and events are connected through organised, time-stamped provenance. Not just: “Who is this?” But: Who issued this? What happened before it? What happened after it? Who was authorised to make that claim? Was it revoked? What evidence supports it? Can the entire provenance path be replayed? Imagine trust as a graph of cryptographically verifiable events, where every relationship has provenance and every state change can be independently verified. Then verification becomes an economic primitive. A verifier can request verification of an evidence path and pay the issuer for the cryptographic verification. Multiple dependencies can be verified together as a single verification operation, producing a replayable verification receipt containing the evidence that was checked. AI becomes the interface to this layer. Instead of humans manually navigating credentials, databases and records, you ask: “Can you verify this?” AI traverses the trust graph, finds the relevant evidence, determines what needs to be verified, follows the provenance chain and returns the answer with the evidence path. The database isn't the source of trust. The graph is the organised map of relationships. The cryptographic proofs are the trust layer. The receipts are the audit trail. And AI is the navigation layer. That feels like a fundamentally different way of thinking about the internet: Information connected by links → data connected by relationships → relationships connected by verifiable provenance. A trust layer underneath the information layer of the internet. The crazy thing is, this can be done today @cheqd_io $cheq