Category
Recruiting & Hiring
Version
1.0.0
Installs
8
Published
Nov 2025
Type
App
Overview
The Recruiting AI Agent automates candidate screening, resume parsing, and initial qualification. Features include AI-powered candidate matching, automated outreach, interview scheduling assistance, and intelligent recommendations.
Highlights
Screen and score candidates automatically using AI-powered resume analysis.
Rank all applicants for a job posting by configurable fit-score weights.
Generate personalized outreach emails and offer letters with one request.
Analyze market compensation data for any role, location, and experience level.
Advance high-scoring candidates through the pipeline without manual intervention.
Detect and prevent bias in screening with built-in fairness guardrails.
Capabilities
Agent Conversation
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Natural-language chat interface (Ask AI)
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Multi-turn context across tool calls in one session
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Fast-path pipeline status queries (no LLM round-trip)
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PII masking before every LLM call
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AI attribution and confidence metadata on responses
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Streaming / real-time typing indicator Responses delivered after tool loop completes
Candidate Screening
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AI resume parsing (PDF, DOCX, legacy .doc)
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Combined parse + score + reasoning in one AI call
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Fit scores for technical, experience, education, culture
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Configurable scoring weights (must sum to 100)
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Force re-screen to clear cache and re-parse resume
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Bias validation guardrails on every decision
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Background screening job with 5-attempt retry backoff
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Automatic high-score notification to recruiter (≥ 80)
Outreach Generation
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AI-generated acknowledgment, rejection, phone-screen, interview-invite emails
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Passive / cold-outreach emails with strength highlights
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Outreach saved as draft by default (approval required)
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Auto-send toggle per outreach type (admin-configurable)
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Bulk outreach (e.g. all unacknowledged applicants) Per-candidate only; no batch send UI
Interview Coordination
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Schedule phone, video, onsite, and panel interviews
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Reschedule and cancel interviews with audit trail
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Interview Scheduler app integration (when enabled)
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Candidate and interviewer notifications on scheduling
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Calendar availability sync Proposed slots only; no live calendar pull
Tool Coverage
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list_jobs — filter by status and department
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view_candidates — filter by job and pipeline stage
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screen_candidate — AI score against job requirements
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rank_candidates — sorted fit-score list per job
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get_pipeline_summary — stage counts across active jobs
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update_candidate_status — move between pipeline stages
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generate_offer — AI offer letter draft (approval-gated)
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analyze_compensation — market salary benchmarks by role
Autonomy & Safety
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Autonomous mode with per-action approval controls
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Progressive trust levels (agents earn autonomy over time)
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Approval queue for outreach, offers, and status changes
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Recruiter review-queue triage notifications
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Full audit log for every agent action
Limits & Specs
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Default daily autonomous action limit: 50 (admin-configurable)
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Minimum screening score threshold: 60 (admin-configurable)
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Auto-advance score threshold: 85 (admin-configurable)
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Confidence threshold for decisions: 0.70
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Resume file size limit: 25 MB
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Supported resume formats: PDF, DOCX, DOC
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Pipeline stages: applied → screening → interview → offer → hired
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Pricing: Included with MangoApps Workforce
Screenshots
Use cases
Bulk candidate screening
A recruiter asks the agent to screen 50 new applicants overnight and surface the top 10 by fit score for morning review.
Pipeline status check
A hiring manager asks "show me all candidates in the interview stage for the Senior Engineer role" and gets an instant summary.
Offer letter drafting
HR requests a competitive offer for a selected candidate and the agent generates a draft letter with salary benchmarks.
Candidate outreach
The agent composes and queues personalized follow-up emails to candidates who have not responded within five days.
Compensation benchmarking
A recruiter asks the agent to analyze market pay ranges for a Product Manager role in New York before setting the job salary band.
FAQ
The agent evaluates technical skills, experience, education, and cultural fit using configurable weights that must total 100. Scores range from 0–100 with a default minimum threshold of 60.
Yes. When autonomous mode is enabled and a candidate scores above the auto-advance threshold (default 85), the agent can move them to the next stage automatically.
Outreach emails are generated as drafts by default. Sending requires approval unless the approval setting for outreach is disabled by an admin.
Every screening decision passes through a bias validation layer that flags non-job-related factors. The agent only considers skills, experience, education, and certifications.
