AI Agent Development

TrueFit AI Agent - Personalized Cover Letter Generation

LangGraph-based AI agent with long-term memory and RAG for intelligent cover letter generation

AI Agent Development
TrueFit AI Agent - Personalized Cover Letter Generation

TrueFit AI agent: LangGraph-based system with long-term memory and RAG for personalized cover letters. Open-source AI with dual LLM review.

Role
AI Systems Developer & Career Tech Architect
Year
2024
Project
TrueFit (Open Source)
Duration
2 months

Challenge

Job seekers struggle with creating personalized cover letters that effectively match their background to specific company values and job requirements, often resulting in generic applications that fail to stand out.

Key Issues:

  • Generic cover letters that don’t reflect company research
  • Time-consuming manual customization for each application
  • Difficulty aligning personal values with company mission
  • No systematic way to improve and iterate on applications

Solution

I built TrueFit, an intelligent LangGraph-based AI agent that combines long-term memory, company research, and dual LLM systems to generate and review personalized cover letters with contextual precision.

Core AI Capabilities:

  • 🧠 Long-term Memory: Stores user values, interests, and resume data using TrustCall
  • 🏒 Company Intelligence: Automated extraction of company mission, values, and job details
  • πŸ”Ž Tavily-powered RAG: Dynamic web search to enrich missing company context
  • ✍️ Contextual Generation: Merges personal profile with company data for tailored letters
  • πŸ”„ Dual LLM Review: GPT-4o for generation, Claude Sonnet for scoring and feedback
  • πŸ› οΈ LangGraph Architecture: Composable workflow with full traceability and debugging

Technical Implementation: Python, LangGraph, LangSmith, GPT-4o, Claude Sonnet, Tavily API, TrustCall

Results

90%
Contextual Accuracy Score
75%
Time Reduction vs Manual
100%
Open Source Transparency

Additional Impact:

  • Persistent memory system remembers user preferences across sessions
  • Automated company research reduces manual preparation time
  • Dual LLM system provides both generation and critical review
  • Full LangGraph traceability enables debugging and optimization

Live Demo & Architecture

πŸŽ₯ Video Demonstration: Watch TrueFit AI Agent Demo β†’

πŸ”§ Technical Architecture:

  • Memory Layer: TrustCall for persistent user profile storage
  • Research Layer: Tavily API integration for real-time company data
  • Generation Layer: GPT-4o for contextual cover letter creation
  • Review Layer: Claude Sonnet for scoring and improvement suggestions
  • Orchestration: LangGraph for workflow management and debugging

πŸš€ Open Source Repository: View TrueFit Source Code β†’

Complete codebase with setup instructions, API documentation, and LangGraph visualization tools.


This AI agent showcases how advanced memory systems and multi-LLM architectures can create truly personalized career assistance tools that adapt and improve over time.

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