AI-Powered Intelligent Recruitment Pipeline

Core Logic

Serves as the central coordinator managing task distribution across all 9 agents. Uses priority-based scheduling (P0-P2) to allocate work, monitors progress in real-time, handles error recovery, and aggregates results from all agents into a unified workflow. Implements chain-of-thought reasoning to plan execution strategy and adapt to changing requirements.

Core Logic

Connects to market data APIs to fetch real-time salary percentiles (P25-P90), analyzes talent pool sizes by skill and location, monitors competitor hiring trends from Google, Microsoft, Meta, Amazon, and tracks year-over-year demand growth. Provides competitive positioning insights for salary negotiations.

Core Logic

Executes parallel searches across LinkedIn, GitHub, and internal talent databases. Uses skills-based filtering with experience level requirements, analyzes GitHub contribution patterns for technical assessment, and deduplicates candidates across sources. Identifies both active job seekers and passive candidates based on activity signals.

Core Logic

Applies ML-based multi-dimensional scoring using Jaccard similarity for skills matching, experience alignment algorithms, culture fit prediction models, and success probability estimation. Processes candidates in batches with transparent scoring breakdowns showing skills match (0-100), experience match, and availability scores.

Core Logic

Runs comprehensive bias detection using the EEOC Four-Fifths Rule for disparate impact analysis. Validates data accuracy across all candidate profiles, performs fairness metrics calculation across demographic groups, generates diversity index scores, and creates audit-ready compliance documentation with mitigation recommendations.

Core Logic

Analyzes candidate pipeline diversity across gender, ethnicity, and veteran status dimensions. Calculates diversity scores, validates Four-Fifths Rule compliance with adverse impact ratios, checks job descriptions for inclusive language, assesses interview panel diversity, and generates specific recommendations like adding diverse interviewers to panels.

Core Logic

Benchmarks proposed salary ranges against competitor data from Google, Microsoft, Meta, Amazon, Netflix. Calculates total compensation value including base, bonus (15%), equity/RSU vesting, and benefits. Analyzes internal equity with compression risk assessment, projects 3-year cost trajectories, and provides negotiation insights with confidence scores.

Core Logic

Integrates with Google/Outlook calendars to find optimal interview slots. Assembles diverse interview panels based on expertise requirements, manages multi-stage pipelines (phone screen, technical, culture fit, final panel), sets up automated reminders, detects scheduling conflicts, and tracks pipeline conversion rates at each stage.

Core Logic

Generates highly personalized outreach messages by analyzing LinkedIn profiles for personalization hooks, matching company culture points to candidate interests, and highlighting role-specific growth opportunities. Creates A/B tested subject line variants and achieves 68% expected response rates through customization scoring.