Enables AI-assisted visual regression testing by capturing baselines, comparing screenshots, and using AI to judge whether visual differences are bugs or acceptable changes.
Enables AI-driven visual QA by capturing web pages and comparing screenshots with SSIM to detect visual regressions, changed regions, and previews, while supporting authenticated sessions and OAuth for apps behind login.
Enables coding agents to see the UI they just changed without flooding their context window, returning a structured text summary (console errors, failed requests, overflow, layout shifts, accessibility violations) plus small crops of only the regions that changed since the last capture. All output is fitted into a chosen token budget, with captures stored on disk and evicted automatically.