Google made an AI coding tool specifically for UI design (3 minute read)
Google has launched an experimental AI tool called Stitch, which uses Gemini 2.5 Pro to convert text prompts and reference images into functional UI designs and front-end code. Available through Google Labs, Stitch enables developers to quickly generate multiple interface variants and export them directly to apps or design platforms like Figma. This move positions Stitch as a direct competitor to Figma's recently announced Make UI tool, signaling Google's intent to retain users within its own AI ecosystem.
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Adobe is Switching Some Creative Cloud Users to a Pricier AI Plan (3 minute read)
Adobe is renaming its Creative Cloud All Apps to Creative Cloud Pro in North America and raising prices by $10 monthly starting June 17. The new plan adds unlimited AI image credits and 4,000 video and audio AI credits. Annual pricing jumps from $659.88 to $779.99. A cheaper Standard plan with limited AI will remain for current users. Existing subscribers will auto-switch to Pro on renewal.
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Microsoft's NLWeb Project Turns Websites into Conversational Interfaces for AI Agents (2 minute read)
Microsoft's NLWeb is an open project that turns websites into conversational interfaces using natural language. Early adopters include Shopify, TripAdvisor, and Eventbrite. Created by R.V. Guha, it lets sites act as MCP servers for intelligent agents, enabling features like personalized help and smart searches. Part of Microsoft's vision shared at this year's Build conference, NLWeb aims to boost agent accessibility without apps.
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The Usability Scaling Law: Death of User Testing? (17 minute read)
By 2035, AI trained on massive usability data could revolutionize interface design, making predictive usability more effective than traditional user testing for common cases. Today's usability insights are scattered, but if unified and used to train AI, they could scale like other AI systems. Though it may take 100,000 hours of annotated research and cost hundreds of millions, the boost in UX productivity could save billions each year.
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There should be no AI button (2 minute read)
The AI button, often shown with vague icons like a magic wand, adds confusion and disrupts workflows by separating AI from regular tasks. As users grow more familiar with AI, this design will become outdated and fragment work. A better solution is contextual integration—like embedded AI teammates—that fit smoothly into workflows and allow natural, real-time interaction without switching modes.
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Designers are facing upskilling exhaustion (2 minute read)
Designer lethargy is rising as nonstop shifts in tools and trends leave little time for rest or deep creativity. The fast pace, driven by AI and social media, turns creativity into performance, where staying visible feels essential. This pressure fuels burnout and grief, disconnecting many from the joy of creating and challenging their sense of identity and financial stability.
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AI Studios (Website)
Turn text into videos with lifelike avatars in 80+ languages. Create, customize, and edit fast in one simple platform.
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The Greatness Test: What is Your Best Design Work? (7 minute read)
Designers should rethink what “greatest work” means, as true impact often lies beyond flashy projects. Most people need designs that are affordable, convenient, and reliable—more than just beautiful. Great design grows in cultures with shared values and long-term commitment, which are rare. Real greatness is about using your skills to tackle meaningful problems.
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Duolingo's Small UI Switch that Changes Everything (7 minute read)
Duolingo replaced its punitive hearts with an energy system, using 25 units per lesson and rewarding bonus energy for correct answers. This change reframes mistakes as investment, adds variable rewards, keeps scarcity for monetization, and encourages more mistakes, which is key for better language learning.
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Using simulation models in UX research (13 minute read)
UX research is facing strain, not from collapse, but from weak, borrowed methods that lack depth as AI demands more predictive, scalable insights. Adopting tools like simulation modeling from social sciences can help researchers study complex behavior and guide decisions when traditional access to users is limited.
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