Markdown source

Bringing agents onto the world wide web

Conference Context

Session Description

The web wasn't built for agents. Heavy HTML, human-first UIs, and a DOM that can hijack the model's context. Still, agents browse it for millions of hours every month through Browserbase, across teams like Ramp, Shopify, and Lovable. This talk walks through that browser agent harness layer by layer, from the security boundary between DOM and model to caching, Agent Identity, and the infrastructure that provisions browsers at scale, and where browser agents go once it is in place.

Media Evidence

The Web Browser Is All You Need - Paul Klein IV, Browserbase (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

Evidence Graph

This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

Media Signals

Agent Reading Notes

Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

Transcript Status

Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

People

Supporting Slides

Slide Evidence

Synthesis

Synthesized Breakdown

Bringing agents onto the world wide web ## Conference Context - Date/time: 2026-06-30 · 11:40am-12:00pm - Track/room: Computer Use · Track 7 - Speaker(s): Paul Klein IV - Session type/status: session · confirmed - Track: Computer Use - Room: Track 7 - Session type: session - Status: confirmed ## Session Description The web wasn't built for agents. Heavy HTML, human-first UIs, and a DOM that can hijack the model's context. Still, agents browse it for millions of hours every month through Browserbase, across teams like Ramp, Shopify, and Lovable. This talk walks through that browser agent harness layer by layer, from the security boundary between DOM and model to caching, Agent Identity, and the infrastructure that provisions browsers at scale, and where browser agents go once it is in place.

Speaker And Company Context

Topics Covered

Derived Links And Source Material

Novel Concepts / Clever Methods

Evidence Boundary

This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.