How to Design Trust in AI Products
Five interface mechanisms that help people understand AI, judge its output, stay in control, and recover from errors.
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AI Experience Notes
Notes on product design, AI experience, user trust, and turning ideas into usable flows.
AI Product Experience Audit: A Seven-Step Method
Turn scattered feedback into a prioritized map of comprehension gaps, trust failures, and workflow friction.
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From Model Capability to Product Value
Connect model capability, user task, product experience, and measurable outcome before building more AI features.
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Designing Trust for AI Products
How clear flows, feedback, and boundaries make intelligent systems easier to understand and keep using.
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From User Insight to Product Choice
Good research is not a report. It helps teams choose what to simplify, explain, and remove.
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Turning AI Capability into Experience Value
A practical view on connecting model capability, product flow, and real user outcomes.
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Readable Interfaces for Complex Systems
Typography, rhythm, and content hierarchy help advanced products feel calm and usable.
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