Intent Solvers Meet Agents

Intent based systems are getting really interesting. Basic intent solvers have been around for a while but they were pretty dumb. Swap this for that, find the best route, done. But users don't actually want to swap tokens. They want to achieve something. Maybe they're yield farming. Maybe they're rebalancing. Maybe they're just panic selling. The context completely changes what the optimal solution looks like. Imagine AI solvers that actually get this. They'd need to think about everything at once. Slippage, MEV risk, taxes, market sentiment. The solution space explodes when you start considering all these factors. The interesting question is how these solvers might compete. Or maybe they wouldn't compete at all. What if they started cooperating? Sharing information when it benefits both. Splitting opportunities. Referring intents they can't handle well. Intent prediction is where it gets wild. Systems learning user patterns so well they know what users want before they do. Executing trades before users even think to make them. That's either incredibly convenient or terrifying depending on how you look at it.