World Congress 2026 Europe • Jul 9, 2026 • Session details

Beyond LLM Agents: A World Model for Visual Software Testing

Manuel Weichselbaum

Real-world software testing demands deterministic results, not fragile LLM agents. Discover how a lightweight visual world model securely automates UI tests on standard CPUs without prompt vulnerabilities.

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#1 about 1 min

Limitations of current performance benchmarks for agentic AI

Shifting the evaluation goalpost from single-task execution to reliable, repeatable automation reveals weaknesses in saturated performance benchmarks.

#2 about 1 min

Challenges of grindable parallel rollouts in UI testing

Executing thousands of AI interactions against real-world webpages requires grindable systems rather than just verifiable actions.

#3 about 1 min

Abstracting UI interactions for secure and automated execution

Mapping a core concept library of abstracted behavior prevents prompt injections while reducing computing overhead.

#4 about 2 min

Vision action model architecture for visual software testing

Utilizing simple visual targets and sigmoid activation creates reliable confidence signals for autonomous bug detection.

#5 about 1 min

Comparing model scale and operational computation costs

Deploying a specialized vision model at a fraction of typical sizes retains benchmark compatibility while reducing infrastructure costs.

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Applying visual language models for automated self-healing tests

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Evaluating AI agents through unpredictable behavior and logic tests

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Integrating AI into web performance engineering workflows

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1:21 min

Handling screen reader simulations using AI agents

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50 sec

Introduction to AskUI and vision agent capabilities

Jonas Menesklou Jonas Menesklou · World Congress 2025

2:20 min

Validating user experiences directly with automated QA agents

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