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Francesco Bonacci
Cua · Computer Use, CAPTCHAs & Skills over MCP
Francesco Bonacci returned to ThursdAI as the computer-use category explodes. The Cua founder explained why desktop-style control via accessibility trees and pixel coordinates is less detectable than CDP browser automation, how Cua is integrating skills over MCP into CuaDriver, and the Jev numbers: 71 of 80 computer-use decisions at roughly 0.1-second median latency, where Astra took 4–5 seconds.
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Francesco on ThursdAI
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Jev is the missing piece for computer use
71 of 80 computer-use decisions at roughly 0.1-second median latency — where Astra took 4–5 seconds.
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Two years ago agents scored 10% on OSWorld — now every assistant needs a computer. I joined @altryne on ThursdAI to talk computer use: dodging bot detection with a11y trees, skills over MCP in CuaDriver, and Jev doing 71/80 decisions at ~0.1s. Full segment:
https://thursdai.news/guests/francedot/sep-17-2026
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I went on ThursdAI with Alex Volkov this week to talk about where computer-use agents are heading.
We covered why desktop-style control through accessibility trees and pixel coordinates is less detectable than CDP browser automation, how we're integrating skills over MCP into CuaDriver (fetch the OS-specific skill at runtime instead of cramming behavior into tool descriptions), and the Jev numbers from our 80-task computer-use test: 71 decisions handled at roughly 0.1-second median latency.
Full segment: https://thursdai.news/guests/francedot/sep-17-2026
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