We don’t need “trust me” AI we need provable AI. @SentientAGI verifiable stack wires that in by default: TEEs for private execution, ZK for proof-of-output, and keys you don’t have to babysit. ❯ Compute you can audit: Phala runs models inside TEEs so agents execute privately and verifiably (Sentient × Phala partnership; plus Phala’s TEE rollup work). ❯ Outputs you can prove: Lagrange’s DeepProve shows zk proofs that an LLM’s output came from a specific input/model production write-ups in May & Aug ’25, not theory. ❯ Keys that program themselves: Lit Protocol brings decentralized key mgmt + programmable signing/encryption, now listed by Sentient as a verifiable-compute partner. ❯ Privacy rails beyond buzzwords: Nillion’s crypto infra supports privacy-preserving compute so data stays dark while models work. Why this matters: once agents plan and pay, you must prove (1) what ran, (2) where it ran, and (3) that the output wasn’t tampered with. TEEs + ZK + programmable keys = receipts, not vibes. Builder move: route a ROMA task through a Phala TEE, attach a Lagrange proof for the inference, and gate actions with a Lit policy key. If that chain holds, you’ve got an agent whose claims are checkable.