Kushan Raj on giving browser agents better page context

AI Engineer4m 26s
Kushan Raj in a blue T-shirt beside the words Browser Agents on a black background.
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    Kushan Raj argues that a browser agent can struggle even with a capable model if its environment offers fragmented page information and weak feedback about actions.

    He demonstrates a prototype that combines a compact representation of the full page with screenshots and tracks changes, obstacles and failed interactions. He contrasts its behavior on a few tasks with another agent.

    Raj describes open-sourcing and an API as possible future directions. The examples illustrate his hypothesis but do not establish a general controlled performance comparison.

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    Kushan Raj in a blue T-shirt beside the words Browser Agents on a black background. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 28 June 2026 and duration 4m 26s.

    Kushan Raj demonstrates how compact page context and action feedback can help browser agents navigate tasks.