AI is reshaping every interface — design with context, not fear
AI copilots, conversational UIs, generative design tools — the field is moving fast. Get a brief that helps you design with these capabilities, not against them.
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New AI design tools every week
Figma AI, Galileo, Uizard, Relume — tools keep launching. You need to know which ones actually improve your workflow vs. which are demos.
AI interaction patterns are still being invented
How do you design for an AI that sometimes hallucinates? Where does the chatbot end and the UI begin? The patterns aren't settled yet.
Stakeholders want 'AI-powered' everything
Every feature request now includes 'can we add AI to this?' You need to separate useful AI from feature bloat.
AI news through the UX Designers lens
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We track AI design tools, interaction patterns, and UX research on how users actually interact with AI features.
Pattern library updates
Emerging patterns for AI UX — from inline suggestions to conversational interfaces — with real examples.
Tool evaluations that matter
Which AI design tools are ready for production workflows and which are still experimental.
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News Relevant to You
Figma Releases AI-Powered Component Suggestions—Early Access Now Live
Figma's new AI feature auto-generates component variants based on your design system, reducing repetitive design work. The feature intelligently learns from your existing patterns and suggests contextually relevant variations.
Why this matters to you: As someone tracking AI design tool evaluation, this update directly impacts your workflow—understanding how to leverage AI-generated components while maintaining design consistency is becoming essential for modern design systems.
OpenAI's ChatGPT Gets Redesigned UI with Explicit Reasoning Controls (January 2025)
OpenAI overhauled ChatGPT's interface to surface its reasoning process, giving users explicit control over thinking depth and response transparency. The design prioritizes user trust & control by making AI decision-making more visible.
Why this matters to you: This redesign exemplifies emerging AI interaction patterns that prioritize transparency—studying how OpenAI balances user control with simplicity will inform how you design trust into your own AI features.
What To Test This Week
Test a Two-State Disclosure Pattern for AI Confidence Levels
In one of your AI-enabled features, add a collapsible "confidence indicator" that expands to show the model's reasoning or data sources. Track whether users who access this information feel more or less confident in the AI's output.
Why this matters to you: This experiment directly tests user trust & control—two core concerns in AI interface design—while giving you real data on whether transparency actually improves perceived reliability in your product.
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Topics we watch for you include
- 🔍AI design tool updates and honest evaluations
- 🔍Emerging interaction patterns for AI features
- 🔍UX research on user trust, control, and AI expectations
- 🔍Case studies of well-designed AI interfaces
- 🔍Weekly experiments to try in your design workflow
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