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Perception Agents — Antje Barth, Amazon AGI Lab
Perception agents share the rendered interface with users, turning visual annotations and design rules into agent input and checks. The open-source harness is an early attempt to close computer-use feedback loops.
AI Engineer · Jul 23, 2026
Source Summary
Amazon AGI Lab released **two open-source harness pieces**: annotation captures marked screen regions and style details, while verification checks rendered output against design rules and walks user flows.
Practical Implication
For UI-building agents, give visual intent as shared context instead of translating every change into prose. Add **rendered-screen verification** after implementation so the agent evaluates what users see, not only underlying code or tool responses.
Agent-Ready Context
Amazon AGI Lab released **two open-source harness pieces**: annotation captures marked screen regions and style details, while verification checks rendered output against design rules and walks user flows. For UI-building agents, give visual intent as shared context instead of translating every change into prose. Add **rendered-screen verification** after implementation so the agent evaluates what users see, not only underlying code or tool responses. These components are described as a first step, not a complete perception agent. Visual and flow checks still produce a report for human judgment, and the broader problem of reliable end-to-end work across applications remains open.
Context Map
agentcodingimage#computer-use#tool-use#agent-reliabilityUncertainty
These components are described as a first step, not a complete perception agent. Visual and flow checks still produce a report for human judgment, and the broader problem of reliable end-to-end work across applications remains open.