The aiurx.com blog
Patterns and methods for designing AI features that people understand and trust.
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UX Patterns for AI Features Users Can Trust
Design patterns that help people trust AI features the right amount: clear expectations, useful confidence signals, checkable sources, edits, undo, and review.
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Loading, Error, and Empty States for AI Products
How to design the in-between states of AI features: streaming output, progress for long tasks, partial results, clear errors, and empty states that teach.
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How to Test AI UX With Real Users
How to run usability tests on AI features when output varies: scripts with varied inputs, measuring calibrated trust, Wizard of Oz studies, and small eval sets.