
Free Lesson
Context Architecture: Applying IA to AI Systems
Part of The AI-Powered Professional
45 min
Jul 16, 2026 2:00 PM
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
Previously





