This post is part of the GenAI Series. In my previous post, I introduced OpenAI’s image APIs and used them to create avatars. Today, I’m diving into another LLM service, ClaudeAI, which has gained traction for its speed and sharp analytical responses. I asked Claude to brainstorm ideas for my next blog post about itself. Among many fantastic suggestions, I chose Customer Behavior Analysis. Finding a suitable dataset on Kaggle was easy, but the real challenge began when I started working on it. I didn’t expect it to take 4–5 hours to achieve my goal. Initially, I had no clear idea how to use Claude for this, but Claude itself guided…