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title Platform Overview
description Complete system overview of Cook'd's AI-powered recruiting pipeline

Cook'd Platform - Complete System Overview

Cook'd is a comprehensive AI-powered recruiting platform that transforms the entire hiring pipeline from job posting to final hire. The platform combines automated resume screening, intelligent candidate search, AI-driven workflows, and interactive technical interviews to streamline recruitment while maintaining high-quality candidate evaluation.

Core Hiring Pipeline: 0 to Hire

Cook'd's integrated approach covers every step of the recruiting process:

Create and manage compelling job opportunities with customizable themes and multi-platform integration. AI-powered automated candidate evaluation against customizable criteria with detailed scoring and reasoning. Intelligent automation workflows with visual builders, conditional logic, and batch processing capabilities. Interactive code review scenarios with AI-powered assessment for technical role evaluation. Advanced candidate search with semantic capabilities and comprehensive filtering across 22 categories.

Platform Architecture

Technology Stack

- **Framework**: Next.js 14 App Router - **Language**: TypeScript - **Styling**: Tailwind CSS, Shadcn UI - **Components**: Radix UI primitives - **Runtime**: Node.js - **Database**: PostgreSQL (Neon) - **ORM**: Prisma - **Authentication**: NextAuth.js - **Models**: OpenAI GPT-4 - **SDK**: Vercel AI SDK - **Prompts**: Custom prompt engineering - **Management**: Braintrust integration - **Deployment**: Vercel - **Storage**: AWS/Vercel - **Analytics**: Mixpanel - **Monitoring**: Built-in observability

Core Systems

AI Integration

  • GenAI Service: Centralized AI service wrapper for all LLM interactions
  • Prompt Management: Versioned prompts with Braintrust integration
  • Model Selection: Dynamic model routing based on task complexity
  • Cost Optimization: Intelligent model selection and caching strategies

Database Design

  • Multi-tenant Architecture: Organization-based data isolation
  • Signal System: Flexible evaluation criteria storage
  • Audit Trails: Complete activity logging for compliance
  • Performance Optimization: Strategic indexing and query optimization

Integration Ecosystem

  • ATS Platforms: Greenhouse, Workable, Ashby
  • Version Control: GitHub integration for code review scenarios
  • Communication: Email automation and notification systems
  • Analytics: Mixpanel integration for usage tracking

Key Features Overview

1. Intelligent Resume Screening

AI-Powered Evaluation

  • 4-point scoring system with detailed reasoning
  • Customizable evaluation criteria (signals & calibrators)
  • Weighted scoring with configurable thresholds
  • Automated pass/fail determination with audit trails

Pre-Built Boolean Signals

  • Company Signals: Y Combinator portfolio, FAANG, venture-backed companies
  • Education Signals: Top engineering schools, Ivy League, international universities
  • Achievement Signals: D1 athletes, Math Olympiad, competitive programming
  • Technical Signals: GitHub activity, years of experience, skills assessment

2. Visual Workflow Automation

Flow Architecture

  • Drag-and-drop visual workflow builder
  • Node-based system with conditional logic
  • Multi-stage processing capabilities
  • Batch operations for efficiency

Available Actions

  • Shortlist management and stage progression
  • Email automation with personalization
  • Automated disqualification with messaging
  • External system synchronization

3. Interactive Technical Assessment

Code Review Interviews

  • Real-world scenarios from actual repositories
  • Interactive candidate assessment interface
  • AI-powered mediation and follow-up questions
  • Automatic scoring based on predefined criteria

Assessment Categories

  • Functional issues: bugs, edge cases, race conditions
  • Performance problems: algorithm efficiency, memory management
  • Security vulnerabilities: injection flaws, authentication issues
  • Code quality: maintainability, readability, best practices

4. Advanced Search & Discovery

Search Capabilities

  • 22 comprehensive filter categories
  • Semantic search with natural language queries
  • Boolean logic with complex AND/OR combinations
  • Real-time results with pagination and sorting

Filter Categories Include

  • GitHub integration and programming languages
  • Experience filters and company history
  • Education background and skills assessment
  • Location, availability, and work authorization

Getting Started

Ready to transform your recruiting process? Follow our Quick Setup Guide to get your AI-powered recruiting pipeline running in minutes.

Learn how to create compelling job opportunities Set up AI-powered candidate evaluation Build intelligent automation workflows Configure interactive technical assessments