I Built an AI Agent That Remembers Why Customers Leave (And I'm Building My Way Into AI Development)

Short summary

A developer with 5+ years in customer support built an AI agent using Cognee, an open-source memory layer, to detect churn risk by building knowledge graphs of customer signals. The agent successfully identified patterns—like 80% usage drops paired with ignored check-ins—without keyword matching. The project illustrates why memory is critical for AI agents to reason across time and demonstrates a path from domain expertise into AI-assisted development.

• •Built a churn detection agent using Cognee's open-source memory layer to connect customer signals across time
• •Agent successfully reasoned about patterns (usage drops, ignored check-ins, repeated complaints) without keyword matching
• •Demonstrates learning path from domain expertise (5+ years customer support) into AI-assisted development with Claude

Generated with AI, which can make mistakes.