AI agents are powerful. But power without experience is useless.
We’ve spent years improving models - scaling parameters, optimizing tokens, benchmarking reasoning. Yet most AI products still fail for a simpler reason: poor interface design.
This book explores the missing layer between intelligence and usability.
It introduces the foundations of Agent Experience (AX): the discipline of designing AI agents that people can trust, understand, and actually use.
From prompt construction to system transparency, from cognitive psychology to frontend architecture, this book bridges AI engineering and human-centered design.
You’ll learn how to:
- Design interfaces that make AI capabilities clear
- Build trust through transparency and control
- Reduce cognitive overload in conversational systems
- Create feedback loops that improve both UX and model behavior
- Architect frontend systems for agentic workflows
- Measure AI experience beyond traditional UX metrics
If you’re building AI products: as an engineer, designer, or founder, this book will change how you think about intelligence.
In AI products, the interface is the intelligence users experience.
