AI Recruiting Pipeline
Multi-agent recruiting system that screens resumes, matches candidates to roles, conducts initial assessments, and manages the interview pipeline.
🎯 Buy once, deploy on any framework
Includes implementations for CrewAI. One purchase — all platforms.
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- ✓ All 1 platform implementations
- ✓ Full source code & documentation
- ✓ Commercial license included
- ✓ 30-day money-back guarantee
- ✓ Free updates for 1 year
- ✓ 30-day email support
Choose Your Platform
One purchase includes all 1 implementations. Deploy on whichever framework fits your stack.
CrewAI
CrewAI crew with 4 specialized agents and production-ready tools.
Included in CrewAI version
- ✓crew.py with 4 agents
- ✓Custom tools
- ✓Config templates
- ✓Deployment guide
⚡ Why OpenClaw?
One-click install, automatic orchestration, built-in cron scheduling, and memory integration. Other platforms require manual setup — OpenClaw gets you to production in minutes.
Code Preview — CrewAI
from crewai import Agent, Crew
screener = Agent(role='Resume Screener', goal='Evaluate applications', tools=[pdf_parser, skill_extractor])
matcher = Agent(role='Candidate Matcher', goal='Score candidates', tools=[skill_matcher, fit_scorer])Agent Architecture
How the 4 agents work together
Your data, triggers, or requests
Resume Screener
Application Processing
Parses resumes and evaluates against job requirements.
Candidate Matcher
Multi-Dimension Scoring
Scores candidates across skills, experience, and fit.
Assessment Agent
Initial Screening
Conducts initial technical or cultural screenings.
Pipeline Manager
Process Coordination
Coordinates scheduling, communications, and pipeline flow.
Structured results, reports, and actions
What's Included
Everything you get with this template
The Problem
Recruiters spend 75% of time screening unqualified candidates. Manual resume review is slow, inconsistent, and subject to unconscious bias.
The Solution
A 4-agent system that screens resumes, scores candidates multi-dimensionally, conducts initial assessments, and manages the pipeline.
Tools You'll Need
Everything required to build this 4-agent system — click any tool for details
Agent orchestration
LLM for analysis and screening
Resume and document parsing
Candidate communication emails
Candidate database and pipeline
Hiring team notifications
Implementation Guide
8 steps to build this system • 2-3 hours estimated
📋 Prerequisites
Define role requirements and scoring
Create structured job profiles with required/preferred skills and weights.
Build resume parsing pipeline
Configure document parsing for PDF/Word resume extraction.
Configure candidate scoring
Build multi-dimensional scoring across skills, experience, and potential.
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Code Preview
Sample agent setup — see platform-specific previews above
from crewai import Agent, Crew
screener = Agent(role='Resume Screener', goal='Evaluate applications', tools=[pdf_parser, skill_extractor])
matcher = Agent(role='Candidate Matcher', goal='Score candidates', tools=[skill_matcher, fit_scorer])Example Input & Output
See what goes in and what comes out
{"job": "Senior Python Engineer", "applications": 247}{"screened": 247, "qualified": 38, "top_candidates": 12, "assessments_sent": 12}Requirements
Reviews
What builders are saying
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Frequently Asked Questions
Do I get all platform implementations?+
Yes — one purchase includes all platform implementations.
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