At AISummitBCN, Bruno Fondevila shared that by combining Jev from TypeSafe and using LLMs as System 2, the cost and latency of AI Agent choreography are greatly reduced, with many potential applications.
This week I mentioned at @AISummitBCN that affordable, fully independent AI Agent Choreography is now possible. By combining Jev by @CompleteSkeptic and using LLMs as System 2, the cost and latency is greatly reduced. The are so many applications for this approach...!
Gregor Zunic showcases an open-source browser agent combining Browser Use and Jev, finding flights in 7 seconds for $0.0039, using a new action space per step, DOM state space, and small LLM fallback for typing.
Scott Williams predicts custom Jev-style models (parallel constrained decoding) will make existing company agent systems more token efficient, creating millionaires.
The user praises the JEV model for its extremely fast reproduction of each movement and command, believing bots will become smarter as a result.
