Browser Use drops jev-ultrafast for high-speed web automation

Treating every click and navigation step as an expensive frontier LLM generation has long crippled web agent performance.

• –Indexing DOM elements instead of feeding high-resolution screenshots dramatically reduces inference latency and token overhead
• –Offloading discrete-choice control selection to a specialized model like Jev makes sub-10-second agent tasks a reality
• –Calling secondary language models only when text generation is necessary avoids unnecessary pipeline bottlenecks
• –Validates the emerging paradigm of pairing fast 'System 1' decision engines with general-purpose LLMs for production tooling