Chapter 1: AI Agent UX vs. Traditional UX: Key Differences

I’ve long been interested in understanding how top AI Agent products are designed — specifically their operational workflows, design deliverables, team structures, flow diagrams, demo prototypes, real case studies, and even lessons learned from failure.

To explore this, I “interviewed” ChatGPT, DeepSeek, and Google’s Genmini,asking each of them to respond as if speaking from the perspective of their own UX designers. Throughout the process, I cross-validated their responses and gradually organized the insights into this article.

I hope this content provides practical value to designers interested in AI Agent UX, and I warmly welcome feedback or suggestions from experienced peers on any gaps or areas for improvement.

Chapter 1: AI Agent UX vs. Traditional UX

Chapter 2: Complete AI Agent UX Project Flow

Chapter 3: Key Deliverables per Stage

Chapter 4: Typical Team Configuration

Chapter 5: Pitfalls, Mistakes, and Recovery

Chapter 6: WorkPal Case Simulation

Chapter 7: Future Trends and UX Skill Growth Roadmap
Enjoyed this chapter? Drop a comment! I’d love to know which ideas you liked best. More chapters and real-world case studies coming soon — stay tuned! 🚀