From Search to Recommendation: The New Rules of AEO
A practical framework for becoming a source AI systems can understand, verify, cite, compare, and recommend.
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AI Experience Notes
Notes on product design, AI experience, user trust, and turning ideas into usable flows.
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 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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