Markdown source

Perception Agents

Conference Context

Session Description

Human-agent collaboration is changing, becoming more visual. The agents most teams ship today still wait for us to type a paragraph to explain what we're looking at. They cannot see a screen, navigate a UI that changes, or recover when an application throws an unexpected modal. That is the architectural gap between agents that demo well and agents that work alongside real teams in real software. Perception agents close it. They see and use computers the way people do, reason about what they see, and act with clicks and keystrokes.

Media Evidence

Building Agents at Cloud Scale — Antje Barth, AWS (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

Perception Agents ## Conference Context - Date/time: 2026-06-30 · 9:45am-10:05am - Track/room: Autoresearch · Main Stage - Speaker(s): Antje Barth - Session type/status: keynote · confirmed - Track: Autoresearch - Room: Main Stage - Session type: keynote - Status: confirmed ## Session Description Human-agent collaboration is changing, becoming more visual. The agents most teams ship today still wait for us to type a paragraph to explain what we're looking at. They cannot see a screen, navigate a UI that changes, or recover when an application throws an unexpected modal. That is the architectural gap between agents that demo well and agents that work alongside real teams in real software.

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.