{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/78296701194745858784b7756f9f0f8b\" 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/78296701194745858784b7756f9f0f8b-c658041dc458d69a.gif","duration":1491.75,"title":"AI Talent Sourcing: Technology Roles","description":"This Loom shows how autonomous recruiting agents in Califlow can source and qualify technology candidates using job descriptions and intake notes. The presenter creates a new project, uploads job description and hiring manager notes (including on-site location in Austin, Texas), and generates a sourcing plan and qualification criteria matrix to rank candidates. Running sessions with a starting budget of about $1 for two candidates, the agent finds qualified matches, drafts outreach, and stores results in CaliflowDB while avoiding resourcing duplicates. In the demo, it produced two newly qualified candidates, then saved additional candidates as the cost stayed around 31 to 41 cents, with the shortlist review showing quantified qualification metrics such as Java, microservices, and architecture."}