{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/80c8be6a35ec4bb9a723cab65a0fe3f9\" frameborder=\"0\" width=\"3440\" height=\"2580\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":2580,"width":3440,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":2580,"thumbnail_width":3440,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/80c8be6a35ec4bb9a723cab65a0fe3f9-819856be5ffa8989.gif","duration":159.9,"title":"AI Talent Rediscovery","description":"I’m going to kick off an AI talent rediscovery search across our existing Ashby candidate records by linking an existing job so the AI knows the criteria we care about, like SAS experience, go to market strategy, and attention to detail. It also leverages signals like feedback scores, resume details, source, and past interview progression. The results are bucketed into warm leads, silver medalists, and high fit candidates. I then review silver medalists with previous feedback, latest touchpoint, and a next step to consider them for a job, add them to a project, or start an email sequence. No action is requested from you in this Loom."}