#text-based-user-interface

#text-based-user-interface

Santa Cruz de Tenerife is one of the most idyllic cities in the Canary Islands. At its heart stands the jewel - the Auditorio. It's a place where talent from both worlds, New and Old, comes together. A theatre, opera, dance, and music heaven.

Voice interaction with Claude Code significantly enhances the user experience by allowing for faster input. Speaking is often 2-3 times quicker than typing, which can streamline the process of giving commands.

Google recently released a new AI model, Gemini 3.1, that demonstrates great results in UI and web design tasks. I've already tested this model for web design tasks and in this article, I want to experiment with Gemini 3.1 and generate UI for a mobile application.

Instructions I created. Instructions I am continuing to hone - instructions that required me to study my own old essays, identifying what I do when I write. The sentence rhythms. The way I move between timescales. The zooming in and out from concept to detail. The instructions tell Claude how I would like ideas composed. I pull together concepts and experiences from my lived expertise to formulate a point of view - in this case, on this new AI technology.

Here's the sad truth about sports score apps: Most of them aren't all that interested in actually telling you the score. After all, where's the money in providing straightforward information like that? The modern sports score app has to do more. It must bombard you with banner ads and betting odds, implore you to create an account and opt into notifications, sell you some tickets, and show some videos to keep engagement up. The scores themselves are an afterthought.

Performance is a critical factor in user engagement, where even minor delays in loading can deter users. A clean and simple user interface also contributes significantly to user retention.

The normative form for interacting with what we think of as "AI" is something like this: there's a chat you type a question you wait for a few seconds you start seeing an answer. you start reading it you read or scan some more tens of seconds longer, while the rest of the response appears you maybe study the response in more detail you respond the loop continues

One skill separates good designers: the ability to clearly articulate their intention. No matter what tool you use, whether it's a traditional UI design tool like Figma or Sketch or AI tools like Figma Make, your ability to explain what you want to see accounts for 50% of your design success. The other 50% comes from your hard and soft skills. When it comes to AI-powered design, your ability to write decent prompts will have a direct impact on the quality of your design. In this guide, I want to share some specific tips and tricks that you can use for Figma Make to maximize the output.

Something's been slowly shifting in the design zeitgeist. I've been watching my feed on X and the vibe has changed. More and more, I see designers sharing finished experiments or prototypes they coded themselves, rather than static Figma files. Moving from working on a canvas to talking to an LLM. The conversation isn't "here's a design I made" anymore... it's "here's something I shipped this afternoon."

AI is disrupting more than the software industry, and is doing so at a breakneck speed. Not long ago, designers were deep in Figma variables and pixel-perfect mockups. Now, tools like v0, Lovable, and Cursor are enabling instant, vibe-based prototyping that makes old methods feel almost quaint. What's coming into sharper focus isn't fidelity, it's foresight. Part of the work of Product Design today is conceptual: sensing trends, building future-proof systems, and thinking years ahead.