Exa 3.0
The search-for-AI race just got a serious shot in the arm with Exa 3.0. The pitch is simple: smarter search that hands agents richer data without wrecking the budget. That's the whole ballgame right now. Every founder I talk to is building some kind of agent, but the ones that actually ship something useful are the ones that figure out how to get the right information fast and cheap.
I'd love more specifics on what "richer" means here. Better ranking, structured results, more context per query? And how much lower is the cost, really? Those are the numbers that decide whether a team bets on Exa or just wires up a generic search API and hopes for the best.
What connects this to the bigger picture is that the infrastructure layer for AI agents is maturing fast. Search was the first thing agents needed, and now it's getting purpose-built. That's a healthy sign for anyone riding the agent wave, and it tells me the next few quarters are going to be about who nails the cost-quality balance.
