
A computer assistant built with Jev (X)
An early prototype where local Whisper transcribes speech and Jev classifies it to decide what action to take, using a small Swift app that gives Jev the screen's full accessibility tree.
Entries 49 to 52 of 52, in the hub's default order. The introduction is on page 1.
Showing 49 to 52 of 52

An early prototype where local Whisper transcribes speech and Jev classifies it to decide what action to take, using a small Swift app that gives Jev the screen's full accessibility tree.

Uses Jev as the decision layer for browser automation with rtrvr.ai and shows the results.
Laya fine-tuned on 671 Mind2Web examples to predict the next browser action, an operation and a target element index, from a page's DOM and a goal, reaching 74.3% validation accuracy.
86-point, 12-comment thread on browser-use's agent. Commenters dispute the 7.1s Google Flights timing because timing starts after initial page observation, report demo failures, and object to paying per call for a cloud decision model.
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