{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/687d40116a2242968493a36d5e456b80\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/687d40116a2242968493a36d5e456b80-d1aceb9392a19a75.gif","duration":493.588,"title":"AutoSuggest AI for Job Alert Automation","description":"This Loom explains how AutoSuggest AI automates the Suggested Job Alert feature for job boards. It creates triggers based on application status, waits a delay after the trigger (minimum 1 minute, recommended around 20 minutes or longer), analyzes a candidate’s CV, and drafts a job alert suggestion using provided criteria and prompts, optionally refined with an example communication. Recruiter approval is centralized by sending pending suggestions at a set candidate frequency and recruiter email frequency, demonstrated with a weekly Friday at 1pm schedule. The presenter shows how suggestions appear for management, how communications are logged and filtered, and how the right user permissions are required to approve and send."}