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Context Architecture: Applying IA to AI Systems

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Designing Context for AI Systems
Paz Perez
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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 and designing memory

Why this topic matters

Context architecture applies Information Architecture principles to AI systems. As AI products increasingly rely on memory, tools, retrieved knowledge, and instructions, the quality of their outputs depends on how that information is organized. 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

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. She is also a recognized writer and speaker exploring the evolving relationship between design and artificial intelligence.

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

Previously

Google
Autodesk
BBDO
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