Use Case 1
Weekly Pipeline Refresh for a Hard-to-Fill Engineering Role
Trigger: A Staff Machine Learning Engineer role has been open for 6 weeks with low inbound applicant volume. The Head of Talent schedules weekly Monday runs.
1.Head of Talent uploads the role spec and configures the weekly Monday 7am schedule with their email as the recipient.
2.On the first run, the agent searches LinkedIn, queries GitHub for contributors to relevant open-source ML frameworks, and sweeps Indeed and Dice.
3.The agent deduplicates all results by normalized name and current company, merges profiles found on multiple platforms, and flags them as 'Multi-Source Verified'.
4.Each candidate is scored across five dimensions (skills match, years of experience, seniority alignment, location fit, role title proximity) and assigned a Tier 1/2/3 label.
5.The agent creates a new Google Sheet, writes all candidates with scores, tier labels, source URLs, and notes, and applies conditional formatting.
6.A summary email is sent listing total candidates found, tier breakdown, top 5 Tier 1 profiles, and source performance.
✓
Every Monday the Head of Talent receives a fresh, ranked shortlist of passive candidates with a formatted Google Sheet ready to share with the hiring manager — replacing 4-6 hours of manual sourcing per week.
Use Case 2
Urgent Healthcare Staffing Surge — ICU Nurse Pipeline in 24 Hours
Trigger: A sudden staffing gap requires the recruiter to build a qualified ICU Registered Nurse pipeline for two Chicago-area facilities within 24 hours.
1.The recruiter sends the agent a sourcing request with the role spec: ICU Registered Nurse, Chicago metro area, 3+ years ICU experience required.
2.The agent prioritizes NurseRecruiter and Hirebridge as niche healthcare sources, then supplements with LinkedIn and Indeed.
3.For each source, the agent logs the exact query used. Any source returning zero results is recorded with the query.
4.Candidates are scored with location fit carrying standard 10% weight (non-remote role), with skills match weighted toward ICU-specific experience.
5.The agent deduplicates across all four sources, flags multi-source verified candidates, and writes the pipeline to a Google Sheet.
6.Because this is urgent, the agent checks whether at least 5 candidates scored above 4.0. If not, it appends a 'Criteria Broadening Recommended' section.
✓
Within hours, the recruiter receives a Google Sheet with a tiered ICU nurse pipeline and a summary email with actionable suggestions for broadening the search if needed.
Integrations
Slack (sourcing run summaries)
ATS MCP Server (Greenhouse / Lever / iCIMS)
RequestApproval (HITL gate for sensitive roles)
Industries
healthcaretechnologyfinancial-servicesretailmanufacturingprofessional-servicespublic-sectorhospitalityother
See It In Action
A sample conversation with this agent
What does this agent do and how do I kick off a sourcing run?
The agent explains its purpose — scheduled multi-platform candidate sourcing — and walks the user through what inputs it needs: a role specification (title, required skills, years of experience, location or remote flag, and the recipient email for the summary). It confirms it will create a new Google Sheet and send an email when the run completes.
Source candidates for a Senior Backend Engineer role. Must have 5+ years of Python and distributed systems experience. Remote-friendly. Send the summary to hiring-team@company.com.
The agent runs a full sourcing pipeline: searches LinkedIn for matching profiles, queries GitHub for engineers with relevant public repositories and activity, and sweeps Indeed and Dice for active candidates. It deduplicates results, scores each candidate across skills, experience, and role fit, assigns Tier 1/2/3 labels, and writes the ranked pipeline to a new Google Sheet. A structured summary email is sent listing total candidates found, tier breakdown, top 5 profiles with fit scores, and source performance.
The last sourcing run for the Data Analyst role only returned 3 candidates above a 4.0 score. What should we do?
The agent acknowledges the thin pipeline and applies its low-yield protocol: it retains all candidates regardless of score, then appends a 'Criteria Broadening Recommended' section to the summary email suggesting specific adjustments — such as expanding the location radius, lowering the years-of-experience floor, or adding adjacent titles like 'Business Intelligence Analyst' or 'Reporting Analyst' to the next search run.
Set up a weekly recurring sourcing run every Monday at 7am for our open Staff Product Designer role. Role spec is in the knowledge base. Send results to design-recruiting@company.com.
The agent confirms the scheduled cadence and role spec reference, then outlines what each Monday run will produce: a fresh Google Sheet named with the role title and run date, a ranked candidate pipeline with fit scores and tier labels, multi-source verification flags for candidates found on 2+ platforms, and a summary email. Each run will deduplicate against prior results and flag net-new candidates discovered since the last run.