Claude Design vs Gemini: кто сделает UI дизайн приложения лучше?

Claude vs. Gemini: A Comparison of Neural Networks for UI/UX Design, App Prototyping, and AI Interface Design Using a Real-World Rail Ticketing Case Study. In this video, I conduct a practical experiment and compare the capabilities of Claude and Google Gemini in creating a Hi-Fi prototype of a mobile app. Both neural networks are given the exact same prompt and specifications. Their task is to design the interface of a rail ticketing app with three screens: search, waiting for results, and ticket issuance. Share in the comments which one you liked better: Claude or Gemini? In the video, you'll see: • How Claude and Gemini handle creating UI designs from text descriptions • Which neural network best adheres to design systems and interface requirements • How well does AI create mobile prototypes without designer input? • Which network is better at creating UX scenarios and user flows? • Why neural networks still can't follow prompts 100%? • What mistakes Claude and Gemini make when designing interfaces • How the role of product designers is changing in the age of artificial intelligence The experiment revealed that Gemini creates a neater and more visually clear UI, while Claude demonstrates stronger UX logic, independently expanding the user flow and adding additional interaction steps. If you work in UX/UI design, product design, interface design, use AI tools, or are interested in vibe coding, interface generation, and the future of the design profession, this experiment will help you understand the real strengths and weaknesses of modern neural networks. Time: 00:00 — Introduction: the essence of the battle between Claude Design and Google Gemini. 00:51 — Prompt analysis: the inputs given to the neural networks (role, Apple style, 8-pixel grid, Russian Railways palette). 03:44 — Claude Design test: project creation, interface generation, and a first look at the result. 04:32 — Prototype analysis from Claude: interactivity, work calendars, but issues with layout and mockup. 06:38 — "Surprise" from Claude: analysis of an unplanned checkout and seat selection screen. 7:32 AM — Google Gemini Test: Canvas generation, performance. 8:04 AM — Gemini prototype analysis: clean UI, perfect match for the mockup, but weak interactivity. 9:47 AM — Screen comparison: which performed better in search, loader, and ticket issuance. 12:49 PM — Final verdict: why Gemini is now better suited for business presentations. 1:27 PM — Conclusions on the future of the design profession in the era of AI. Subscribe to the channel: Here we explore how neural networks really speed up designers' work, and where they still fall short. Support the channel by subscribing and liking! My social media: 🔗 http://t.me/pravkisdelal #Claude #Gemini #UXUI