Paweł Huryn compares decision models and, excluding Claudeflare and OpenAI, finds Jev and Perplexity best for his use case.
More decision models. I wouldn't consider Claudeflare or OpenAI at this point. Sage 1.3 made one serious mistake - accepted "Who hired this clown?" when moderating Q&A. This leaves Jev and Perplexity as the best options for me (document classification is a synthetic test,
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.
