Designing Context for AI Systems

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Designing Context for AI Systems Reviews & Product Details

This course applies established Information Architecture principles (taxonomy, labeling, hierarchy, relationships) to AI systems, teaching students to design the "context" that shapes AI behavior, including memory, instructions, retrieved knowledge, and tool/skill organization, rather than just writing prompts. Students learn a specific evaluation method, the R.I.S.K. Framework, to identify ambiguity, inconsistency, safety, and knowledge gaps in AI systems. No coding or "prompt tricks" are required; the focus stays on structural design thinking applied to AI.

Best For

Content designers shaping AI behavior Design leaders building AI-ready workflows Design leaders building AI-ready workflows Information architects and content strategists

Not For

Those wanting a fully self-paced format Complete beginners to UX or design People wanting prompt-engineering "tricks" only Those wanting to learn to code

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About the Creator

Paz Perez

Paz Perez is an AI Design Consultant and educator based in Southern Spain, co-founder of Nothing Fancy AI. A former architect for 8 years before moving into UX, she trained 900+ designers at Google and is a published author with the Nielsen Norman Group. She now teaches Designing Context for AI Systems, a Maven course applying Information Architecture to AI behavior.

Not publicly disclosedTechnology & UX Design

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Contact

Contact form: maven.com/paz-perez/context-architecture

Address: Not publicly disclosed

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