Why zkML? Because @PayPal will soon power payments inside @OpenAI’s ChatGPT — making it the first wallet to turn conversations with 700M+ weekly users into direct purchases starting next year. AI can now shop for you. But in agentic commerce, who verifies that each payment actually goes where it should?

2/ Agentic transactions change everything. It’s no longer just “buyer vs seller” — now there’s a model in the middle making decisions. Fraud risk becomes bidirectional: the AI could be tricked, or the merchant could be fake. Closed-loop wallets like PayPal rely on verified identities, but verification ≠ verifiability.

3/ zkML introduces that missing proof layer: - AI agents can produce zk proofs showing a transaction followed the declared logic. - Both merchant and agent behavior can be audited cryptographically. - No exposure of transaction details or model internals. zkML turns two-way trust into two-way proof.

4/ Imagine commerce where: ✅Every AI-initiated payment includes a verifiable execution receipt. ✅Merchants can prove authenticity without sharing backend data. ✅Regulators can verify compliance without central intermediaries. zkML makes agentic commerce self-auditing.

5/ AI payments are coming fast — but automation can’t scale without verification. zkML turns intelligent transactions into verifiable ones, with logic you can trust and outcomes you can prove. That’s what @PolyhedraZK is building: zkML for a world where every transaction carries its own proof.