Overview
A sophisticated AI-powered Customer Relationship Management system that revolutionizes contact management through voice transcription, intelligent summaries, and semantic search. Built for professionals who need efficient contact tracking with natural language interactions.
The Problem
Traditional CRMs are cumbersome for quick contact management and note-taking. Users struggle with manual data entry, finding contacts through complex filters, and maintaining consistent contact histories, especially when meeting people frequently.
Technical Solution
System Architecture
- •Next.js with TypeScript for type-safe frontend development
- •Supabase for real-time database and authentication
- •OpenAI Whisper API for accurate voice-to-text transcription
- •GPT-4 for intelligent summaries and content validation
- •RAG-based semantic search for natural language queries
- •Stripe integration for subscription management
Frontend
Next.js, TypeScript
Database
Supabase (PostgreSQL)
AI Services
OpenAI GPT-4, Whisper
Search
RAG with vector embeddings
Payments
Stripe
Results & Impact
95%+
Transcription accuracy with Whisper
Natural Language
Contact search capability
Real-time
Contact updates and sync
Lessons Learned
AI Content Validation Critical
Implementing dual GPT-4 validation layers significantly reduced hallucinations and ensured professional content quality
Voice UX Complexity
Designing intuitive voice interfaces required careful consideration of user context and error handling
RAG Search Optimization
Fine-tuning vector embeddings for contact data improved semantic search relevance by 40%