{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/de43e16b46be473a8ccf7ae5caefba6e\" 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/de43e16b46be473a8ccf7ae5caefba6e-ab68acd21c9854ae.gif","duration":1640.417,"title":"AI Agents for Candidate Sourcing, Qualifying","description":"This Loom demonstrates how to use Califlow, an open source agent tool, to automate recruiting sourcing, qualification, and outreach. The speaker shows setting up knowledge bases for tone and client requirements, uploading a software engineer job description and manager notes, generating a sourcing plan, and creating qualification criteria to score candidates. Using connectors like LinkedIn first connections, SignalHire, Firecrawl, and GitHub, the run adapts search parameters and can qualify candidates, with an example goal of finding two qualified candidates for about $1. The workflow then helps retrieve emails and draft messages, with the option to send outreach via providers such as Gmail, ContactOut, Instantly, or similar."}