Context Architecture: Applying IA to AI Systems

Hosted by Paz Perez

Thu, Jul 16, 2026

6:00 PM UTC (45 minutes)

Virtual (Zoom)

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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 is a designer specializing in AI products, model design, and helping organizations evolve their design practices for the age of AI. Previously at Google and Autodesk, she led design initiatives that reached millions of users. At Google, she created AI training programs that helped hundreds of designers build AI literacy and incorporate AI into their design practice. Today, she advises organizations on creating human-centered AI products and is the co-founder of Nothing Fancy AI.

Previously

Google
Autodesk
BBDO
See all products from Paz Perez

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