A practical guide to designing AI interfaces for product designers working with LLMs and AI agents.
Designing AI interfaces is one of the hardest shifts product designers face right now.
This book gives you a working framework no technical background needed.
Most design training assumes predictable systems. Buttons do what they say.
Outputs match inputs. AI breaks all of that. This book is built for designers who need to catch up fast.
It starts by giving you a mental model for how AI systems reason, process inputs, and produce outputs without requiring you to learn model architectures or training data mechanics.
You'll understand what LLMs can and can't do, and how those capabilities show up in real user-facing experiences.
You'll learn how to evaluate your organization's AI maturity and push for responsible implementation without sounding like you're guessing.
Written specifically for the AI transition, it covers risk management, transparency, and user trust in systems that act on people's behalf.
Whether you're designing for LLMs or autonomous agents, the frameworks here work across both.
What you will learn:
Build a practical mental model for how AI systems reason, process, and act and how users experience them.
Design effective and ethical interfaces for LLMs and AI agents.
Apply best-practice patterns for content warnings, permissions, and oversight.
Collaborate confidently with engineering and product teams on AI features.
Evaluate your org's AI maturity and advocate for responsible implementation.
Ideal for: Product designers, UX professionals, and cross-functional teammates building AI-powered products who need a design-first approach.