The author announces deploying Jev in a real production use case, achieving fable-level quality, 10x speed, and major cost savings; also notes firstmate as an orchestrator that intelligently routes tasks to suitable agents.
alright - just got Jev deployed for a real production use case, which now performs at fable level quality but 10x faster and saves a ton of money context - a powerful capability of firstmate is that as an orchestrator it intelligently routes each task to an appropriate agent
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.
