Staging environment

Context Architecture: Applying IA to AI Systems

Hosted by Paz Perez

166 students

In this video

What you'll learn

Understand the evolution of prompt engineering

Learn how AI systems evolved from simple prompts to complex ecosystems of memory, tools, retrieved knowledge, and agents

See how Information Architecture shapes AI behavior

Understand how labels, taxonomies, hierarchies, and relationships influence what AI systems prioritize and generate

Learn a practical framework for designing context

Explore IA principles: structuring content, improving findability, aligning to users' mental models

Why this topic matters

Context architecture applies Information Architecture principles to AI systems. As AI products rely on instructions, memory, tools, and retrieved knowledge, their outputs depend on how that information is shaped. Learn how IA methods such as taxonomy, ontology, and labeling help AI agents interpret information and produce better, user-aligned responses.

You'll learn from

Paz Perez

AI Product Designer & Educator (Google, Autodesk)

Paz Perez is a designer focused on AI products, model design, and helping organizations adapt their design practices for an AI-driven world.

At Google, she created AI training programs that helped more than 900 designers build AI literacy and integrate AI into their work.

Today, she advises organizations on creating human-centered AI products and is the co-founder of Nothing Fancy AI.

Career highlights

Previously at

Google
Autodesk
BBDO
See all products from Paz Perez

Go deeper with a course

Designing Context for AI Systems
Paz Perez
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