Designing AI-Powered Experiences

AI features are everywhere: From copilots to autonomous agents.

But how do we design meaningful AI-powered experiences instead of simply adding a chat interface?In this workshop, UX designers will explore emerging AI interaction models and design patterns from advisor and generator systems to human-in-the-loop concepts. We’ll address designing for uncertainty, building trust, defining guardrails, and rethinking information architecture in probabilistic systems.

The goal: move beyond hype and start designing AI systems intentionally, strategically, and responsibly.

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Key Learnings:

• Differentiate between AI interaction models (advisor, generator, agent, orchestrator)
• Choose the right AI pattern for a specific product context
• Design for uncertainty and probabilistic outputs
• Build trust through transparency and explainability patterns
• Define guardrails, boundaries, and responsible AI behaviors
• Structure effective human-in-the-loop flows
• Rethink information architecture for AI-driven systems
• Translate system prompts and AI logic into clear UX decisions

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