TrueFit AI Agent - Personalized Cover Letter Generation
LangGraph-based AI agent with long-term memory and RAG for intelligent 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.
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 donβt 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:
- π§ Long-term Memory: Stores user values, interests, and resume data using TrustCall
- π’ Company Intelligence: Automated extraction of company mission, values, and job details
- π Tavily-powered RAG: Dynamic web search to enrich missing company context
- βοΈ Contextual Generation: Merges personal profile with company data for tailored letters
- π Dual LLM Review: GPT-4o for generation, Claude Sonnet for scoring and feedback
- π οΈ LangGraph Architecture: Composable workflow with full traceability and debugging
Technical Implementation: Python, LangGraph, LangSmith, GPT-4o, Claude Sonnet, Tavily API, TrustCall
Results
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
π₯ Video Demonstration: Watch TrueFit AI Agent Demo β
π§ 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
π 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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