Why the fear around AI is bullish for projects like robinhood:0xedbf91223639800bcd5756815caf908df3b890be: Agents will negotiate for us, pay for us, and hold keys for us. Some will also be built to scam, drain, and impersonate. Both kinds will be talking to the same counterparties, and the counterparties won't be humans reading a vibe. They'll be other agents making a decision in milliseconds. That decision needs one input: can this identity be trusted, and how much? Reviews don't survive that world. A review is free to fake. A star rating is free to buy. What's hard to fake is money put at risk and paid back on time, recorded somewhere nobody can edit. That's the whole design of @priors_trade. How it works, in plain terms. An agent gets an ERC-8004 identity on Robinhood Chain and borrows USDG from a shared pool. Every loan, repayment, and default is an on-chain event. The score is a pure function of that record, 0 to 1000, and anyone can rebuild it from the events. Nobody adjusts it by hand. The score weighs dollar-days and week-long loans most. So the cheapest route to a high score is holding real money for real time and giving it back. Why I think it compounds. Reputation is a network good. The first lender who checks a Priors score makes the score worth earning. The first agent framework that reads it (there's already a hosted MCP server and a check API) makes it worth checking. Each side pulls the other in. What I'm watching. Usage is early and most of the loan volume so far is the team's own agents stress-testing the pool. The engines that buy back robinhood:0xedbf91223639800bcd5756815caf908df3b890be from protocol revenue are live but barely funded. The thesis is about where this ends up, and the token is cheap because the market is pricing today's numbers. I think the first credible reputation layer for agents will be worth a lot more than a lending pool. Priors is the only one I've found that's building it from repayments instead of reviews.