🔗LetterChain

Upload & Details

Upload your resume in PDF, Word, or text format. We'll extract your experience and skills to match with the job.

💡 Tip: Make sure your resume includes your work experience, skills, and education

Paste the complete job description from LinkedIn, company website, or job board.

💡 Tip: The more detailed the job description, the better we can tailor your cover letter

Choose the tone that best matches your personality and the company culture.

LangGraph Architecture

Multi-agent system built with LangGraph, featuring specialized AI models for each processing stage

How It Works

Smart, Seamless Experience

Upload your resume (PDF, Word, or TXT) and paste in a job description.
  • Our system instantly reads and understands your resume—no manual reformatting required.
  • Advanced AI matches your experience to the job, then writes a tailored, confident cover letter in real time.
  • See your letter stream in live, so you're never left waiting in the dark.
  • Want changes? Suggest improvements and get a new draft instantly—no need to start over.
  • All your data is processed securely and never used for training.

What Makes It Special?

  • Real-time AI: See your cover letter generate as you watch.
  • Multi-format support: Upload PDF, DOCX, or TXT resumes—no conversion needed.
  • Validation loop: Every letter is double-checked by a second AI for quality and honesty. If it doesn't meet the bar, the system automatically revises and improves it before you see the result.
  • Feedback loop: Instantly refine your letter with your own suggestions.
  • Reliable & secure: Built with robust cloud tech, so your data and experience are always safe.
  • Powered by top-tier AI: Uses advanced models for the best results.
🔍
Claude-3-Sonnet

Job Parser Node

Extracts structured information from job postings

•Parses job descriptions into structured JSON format
•Extracts: title, company, required_skills[], values[], summary
•Uses regex pattern matching for response extraction
•Implements error handling for malformed responses
📄
Claude-3-Sonnet

Resume Parser Node

Extracts candidate information from resumes

•Converts resume text into structured candidate data
•Extracts: name, summary, experiences[], skills[], education[]
•Deduplicates skills and experiences automatically
•Handles missing or incomplete data gracefully
🎯
Claude-3-Sonnet

Relevance Matcher Node

Matches candidate experiences to job requirements

•Compares resume data with job requirements
•Selects 2-3 highly relevant experiences
•Maps skills to specific job responsibilities
•Returns matched experiences with reasoning
✍️
Claude-Opus

Cover Letter Generator

Generates personalized cover letter content

•Creates tailored cover letter using matched experiences
•Incorporates tone preferences and company information
•Supports iterative refinement with feedback
•Maintains optimal length and structure
✅
Claude-3-Sonnet

Validator Node

Quality assurance and validation

•Validates cover letter against strict criteria
•Checks company/job mention accuracy
•Ensures experience relevance and tone consistency
•Provides detailed feedback for improvements