AI interface patterns, user trust, and product adoption. Ten pieces from a weekly archive that now runs backward from June 20, 2026.
Marcus VancePennsylvania's lawsuit against Character.AI shows that chatbot UX can become regulated conduct when a product appears to impersonate licensed medical or psychiatric professionals.
Eric KimOnboarding users to AI workflows requires setting the right expectations. Discover how leading SaaS products are shifting from 'magical' claims to practical capability tours.
Julian ThorneThe industry's obsession with chat interfaces is fading. Learn why structured UI elements often provide a superior user experience for complex AI tasks.
Pill Creative StudioHigh sign-up rates don't mean much if users aren't returning. Here is a breakdown of the key product analytics signals that indicate your AI feature is failing to deliver value.
Julian ThorneMasking the complexity of AI behind 'magic' buttons creates brittle user experiences. Transparency in AI processes is proving to be a stronger driver of long-term retention.
Marcus VanceLarge Language Models often present hallucinations with extreme confidence. Product designers must implement visual cues to communicate the system's uncertainty to the user.
Eric KimDependability is the holy grail of B2B AI products. Explore the design patterns that transform unpredictable models into reliable enterprise tools.
Elena RostovaWhen AI makes a mistake, how easy is it for the user to fix it? Robust correction paths are the difference between a minor annoyance and complete product abandonment.
Single Grain AI TeamIn an era of AI hallucinations, verifiable citations are a required feature. Discover how integrating source context directly into the UI boosts credibility.
Chloe MartinezAlgorithmic recommendations often feel arbitrary. Learn how to design AI systems that explain their reasoning and take accountability for their suggestions.