PersX.ai is more than a recommendation engine—it's a learning laboratory where I'm pushing the boundaries of AI-driven personalization and experimentation strategy.

This project serves three purposes:

• Continuously improve my AI skills and stay on the cutting edge of experience optimization
• Provide actionable personalization and experimentation recommendations drawn from 20+ years of hands-on expertise
• Build a RAG (Retrieval Augmented Generation) system that learns from accumulated knowledge—blogs, case studies, implementation guides—to deliver increasingly sophisticated and contextual recommendations

As I add more content about advanced tactics, tool integrations, and industry-specific strategies, the system gets smarter. Every blog post, case study, and test result feeds the engine, making your roadmap more precise and actionable.

Think of it as an evolving brain for experience optimization—constantly learning, adapting, and improving with each new insight.