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Apply Information Architecture to AI systems
As AI products become increasingly agentic, the challenge shifts from writing prompts to designing the context that shapes AI behavior.
In this course, you'll learn how to:
Apply Information Architecture principles to AI systems through Context Architecture.
Understand how context influences AI behavior, reasoning, and decision-making.
Reorganize knowledge bundles so AI systems can retrieve the right information.
Build AI products that are more reliable and aligned with user needs.
Lessons and exercises support a range of experience levels, with bonus material covering core AI concepts and more advanced content for experienced practitioners. An AI engineer will join selected sessions to help answer technical questions.
No coding experience is required.
Claude Pro is required for the exercises for one month during the course. The course is intentionally short and priced to be accessible, so those newer to AI and Context Architecture can join with confidence.
What you’ll learn
Learn to apply Information Architecture principles to AI systems and become the designer who shapes AI behavior, not just the interface.
Why AI outputs depend on context, not just prompts or models
The evolution from prompt engineering to context engineering to context architecture
How Information Architecture principles apply to AI systems and agentic products
What makes up an AI system's context: instructions, memory, retrieved knowledge, tools, and conversation state
How AI systems interpret context and why information structure matters
The difference between context engineering and context architecture
How taxonomy, labeling, hierarchy, and relationships influence AI behavior
Designing memory that helps AI systems remember the right information at the right time
Reorganize knowledge bundles so AI systems can retrieve the right information.
Learn the anatomy of an evaluation, from realistic scenarios to clear criteria for judging AI behavior.
Use JEV to evaluate AI decisions at scale.
Evaluate agentic systems by examining the final result and the path the agent took.
Learn directly from Paz
Paz Perez
AI Product Designer & Educator (Google, Autodesk)
Who this course is for
Information architects, content strategists, and content designers ready to apply their expertise to the next generation of AI products.
UX and product designers who want to move beyond designing interfaces to shaping AI behavior.
Design leaders and AI practitioners looking to build Context Architecture into their teams, workflows, and product strategy.
What's included
Live sessions
Learn directly from Paz Perez in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
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