Use Case

Recruiting that runs itself.

AI agents source candidates, craft personalized outreach, schedule interviews, and update your ATS — while learning which profiles convert to hires.

01The Problem

Sourcing is a grind

Hours on LinkedIn, job boards, and referrals just to build a pipeline.

Outreach is generic

Same recruiter template to every candidate. Top talent ignores it.

Scheduling chaos

Back-and-forth emails for one interview slot. Multiply by 50 candidates.

02How It Works
01

Define role requirements

Describe the role in plain language. AI extracts skills, seniority, and culture signals to build a precise search brief.

02

Source from LinkedIn + job boards

Agents scan LinkedIn, Indeed, and niche boards to surface matching candidates based on your role brief.

03

Enrich candidate profiles

Each candidate is enriched with contact details, work history summaries, and GitHub or portfolio signals where available.

04

AI-personalized outreach

Claude AI crafts a tailored message for each candidate referencing their specific background and the role's unique appeal.

05

Auto-schedule interviews

Interested candidates are routed into a scheduling flow. Interview slots book automatically against your calendar availability.

06

Update ATS + Knowledge Graph

Every candidate interaction updates your ATS and the Knowledge Graph — so future searches start smarter.

03Integrations Used
LinkedInHunter.ioGoogle CalendarSlackClaude AIKnowledge Graph

Let your agent run this workflow.