{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/8c360f6cdf984d809696e507421ce3ed\" frameborder=\"0\" width=\"2294\" height=\"1720\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1720,"width":2294,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1720,"thumbnail_width":2294,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/8c360f6cdf984d809696e507421ce3ed-74306253bd80d2c1-full.jpg","duration":469.538,"title":"How QA Wolf's AI investigates your test failures","description":"This Loom demonstrates how QA Wolf AI investigates failed tests and fixes underlying issues. The presenter creates a PR that introduces two app bugs and two outdated locators, updates the suite to add two locator failures, and then monitors the preview environment as QA.Wolf runs a suite with 37 workflows where 32 pass and 5 are running. After selecting PR34, they show that four flows fail across three attempts and that QA.Wolf begins active investigation, grouping failures by cause into sub-agents. The lead agent creates sub-agents, each with its own browser and repository, to identify root causes and make fixes."}