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You can visually select DOM elements by launching an interactive picker overlay in the browser, hovering to highlight elements, and clicking to capture their selectors and contextual metadata for AI agents.

The best way to capture web page selectors for automated QA workflows is using an interactive element picker that automates element selection and retrieves contextual data to validate UI behavior during design reviews.

Yes, you need Playwright to run an interactive element picker for web pages. It requires a Python environment with Playwright installed and the picker setup initialized to launch the browser overlay and select elements.

Yes, you can capture screenshots during UI design reviews by integrating optional agent-eyes context with the element selection tool, which provides richer element descriptions and screenshots to improve downstream AI reasoning.

To retrieve session artifacts after closing the browser in a web automation task, list the local sessions directory. The artifacts, including a session.json file containing captured selectors and metadata, are saved automatically.

Yes, interactive element selection works for accessibility checks. It enables you to quickly collect element data, identify DOM selectors, and verify UI behavior to ensure web pages meet accessibility requirements during reviews.