Build a recruiting shortlist from job descriptions and past recruiter conversations
At a glance
Ivan Burazin used Grok Bot to find candidates for four roles, then handled outreach himself. This workflow is listed under recruiting, candidate-research, office-work.
He supplied Slack conversations with previous recruiters, job descriptions and hiring context. Grok Bot searched LinkedIn and assembled a list of 140 candidates across four open roles.
How it went
He says almost all of the candidates looked relevant on review. He contacted roughly one fifth of the list and booked calls.
Worth knowing
The agent produced the shortlist; the author describes personally reviewing it and contacting candidates.
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A creator pattern posts a Grok Bot routine that every 2 hours checks email + Slack, sorts urgent/reply/ignore, and drafts replies in the owner's voice—sending nothing until approval, vs ~$2k/mo for a human VA.
The agent identifies role requests, extracts hiring details, asks for missing information, and confirms the newly created Ashby opening in the original thread.
The template gathers role objectives through a chatbot and combines them with company examples to draft a job description, application questions, and interview guide.
The skill investigates a target company's GitHub contributions, engineering writing, and conference activity, then cross-checks professional identities before proposing outreach targets.