Walkthroughs, demos, and deep dives. Our notes first, the original next.
Browser use
5 videos
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Steve from Builder.io tests Jev on automated browser and OS tasks, revealing significant failure rates when operating on raw text representations without visual input. He demonstrates where Jev fails standalone, how a hybrid fallback with multimodal LLMs works, and practical integration patterns like tool selection and priority classification.
Duration: 5 minutes 30 seconds. View notes : Is Jev actually good at computer use?More walkthroughs, examples, and different perspectives.
Well Pires explains the architecture behind TypeSafe AI's Jev model, focusing on structured probabilistic decisions over conversational text generation. He demonstrates creating a Chrome extension that classifies browser feed posts, categorizes user direct messages, and predicts member churn scores in real time via OpenRouter API requests.
Duration: 16 minutes 0 seconds.Usutaku explores TypeSafe AI's Jev model, explaining probability-based decisions over verbose text generation, and tests custom Chrome extensions for email sorting, ad-blocking, automated browser navigation, and speech-driven control.
Duration: 17 minutes 50 seconds.The creator demonstrates a voice-controlled browser agent built with TypeSafe AI's Jev model. He issues spoken commands to scroll pages and click navigation links, highlighting Jev's output of structured software decisions instead of standard text responses.
Duration: 1 minutes 53 seconds.Retriever AI demonstrates integrating TypeSafe AI's Jev model into their browser agent harness for tool selection and context scoring. The experiment highlights improved execution speed alongside significant cost increases compared to open-source models.
Duration: 7 minutes 4 seconds.
