The article analyzes GPT‑Image‑2’s ability to automate the time‑consuming, exploratory half of brand design—creating moodboards, logo explorations, and brand kits—while highlighting its current limitations in delivering fully polished, rule‑consistent brand systems.
OpenAI's newly released ChatGPT Images 2.0 (GPT‑Image‑2) lets users generate photorealistic screenshots, posters, and even homework from ultra‑short prompts, outperforms the previous Nano Banana model, supports 2K resolution, multi‑language input, and is already available via API with pricing details.
OpenAI's GPT‑4 Image 2 shifts from a mere visual inspiration tool to a production‑ready system that can handle text, layout, multi‑size adaptation and variant generation, threatening repetitive design tasks across branding, UI, e‑commerce and game concepts while leaving high‑level creative strategy untouched.
The article verifies the authenticity of a 73 KB, 422‑line Claude Design system prompt leaked by the CL4R1T4S project, provides a faithful translation of its contents, and dissects the five‑layer design that enables high‑quality AI‑assisted design output.
Anthropic’s Claude Design uses a Claude Opus 4.7 visual model to let users describe design intent and iteratively refine UI via dialogue, inline annotation, text editing, and sliders, sparking debate on its impact on design workflows, market dynamics, and the future role of designers.
The article analyzes gpt-image-2 by compiling over a dozen public test cases that demonstrate its six core capabilities—role‑card generation, photorealistic portrait rendering, dense Chinese text layout, information‑card design, game‑scene simulation, and complex relationship diagrams—while also noting its multilingual understanding, comparative edge over Nano Banana, and emerging issues such as over‑dense outputs.
The article analyses Recraft AI’s official prompts, showing how their composition‑focused, typography‑aware structure creates designer‑level visuals and can be transferred to other models such as Nano Banana, Midjourney, and Flux for more controlled image generation.
This guide reviews ten Claude Code Skills—from systematic debugging and brainstorming to parallel agent dispatch and document generation—showing how to install them, trigger their hard‑gate workflows, combine them into an efficient development pipeline, and avoid common pitfalls.
Google’s latest Stitch release bundles five upgrades—AI‑Native Canvas, Smarter Design Agent, Voice, Instant Prototypes, and DESIGN.md—transforming the tool from a UI generator into a continuous AI‑native design workflow that captures context, interaction, rules, and iteration, reshaping competition toward workflow integration rather than speed.
The article outlines practical guidelines for product teams on when to begin AI‑assisted prototyping, covering three "don't" and three "must" principles, a four‑dimensional tool selection method, a three‑stage AI workflow, and why product managers remain essential, backed by real‑world case studies and metrics.
The article outlines three "don't draw" rules for prototype design, defines three concrete conditions that signal the optimal time to start AI‑assisted prototyping, presents a four‑dimensional tool‑selection framework, and details a three‑stage AI workflow backed by real‑world case studies and quantitative results.
OpenAI's GPT‑5.4 combines a 1 M‑token context window, native computer‑use, and benchmark‑leading performance—outperforming humans on 83 % of tasks and cutting token usage by 47 %—while showcasing demos that let designers generate games, websites, and 3D assets in a single prompt.
In a 2026 Lenny's Podcast interview, Jenny Wen, Claude’s design lead at Anthropic, explains how AI has upended traditional design workflows, reshapes the role of designers, and reveals the tools, hiring priorities, and future UI‑chat hybrids that are shaping modern product creation.
A post‑holiday roundup of AI‑powered design tools reveals how Figma’s deep Claude integration, Google Flow’s full‑studio upgrade, Claude’s dedicated design plugin, Quiver AI’s vector generation, Paper Desktop’s code‑canvas sync, and Pencil’s swarm mode collectively accelerate design workflows and reshape the role of designers.
The author argues that traditional design hand‑off creates a persistent gap between mockups and final products, and proposes “direct design”—using AI code generators like Cursor or Claude Code to let product thinkers write and iterate code themselves, dramatically shortening feedback loops from weeks to minutes.
The article outlines when to begin AI‑assisted product prototyping, presenting three “don’t‑draw” rules, three conditions for optimal timing, a four‑dimension tool selection method, a three‑stage workflow, and why product managers’ core skills remain indispensable despite AI advances.
Google’s integration of Gemini into Chrome brings AI‑driven browsing, on‑the‑fly summarization, translation, image editing, and automated tasks, and this article walks through the required US‑based account setup, the open‑source enable‑script, and hands‑on experiences across four real‑world scenarios for designers.
The article introduces a visual AI prompt editor that transforms lengthy, complex prompt strings into modular, editable Chinese sections, demonstrating the workflow with two examples—converting a “California girl” portrait to an Asian style and re‑imagining a cinematic skyscraper scene—while detailing step‑by‑step usage and JSON export options.
Alibaba’s Qwen‑Image‑Layered model, now fully open‑source, automatically separates a single image into editable RGBA layers using diffusion, offering Photoshop‑level editing, prompt‑controlled layer counts, and deep decomposition, with applications ranging from PPT de‑construction to game asset extraction, while noting limitations on realistic photos.
A product manager explains why Axure and similar prototyping tools are becoming less practical for B‑to‑B projects, discusses low‑code delivery, compares Sketch, Axure, and MoDao, and offers concrete fixes for common Axure layout issues.
This guide explores Google’s Nano Banana AI model, offering three actionable prompt templates for UI concept generation, low‑fidelity wireframing, and component design, along with tips on crafting clear, detailed prompts to achieve high‑quality, style‑consistent visual outputs using the free Google AI Studio.
At the recent CodeBuddy developer meetup, Vibe Coding’s design and product leads highlighted how AI reshapes design workflows and expands developer skill sets, while practitioners shared practical experiences with AI‑driven CLI tools, cloud integration, and the preference for Claude models in AI coding.
Learn how designers can harness AI tools in five practical steps—from script generation and AI‑driven image creation to video synthesis, music production, and final editing—to craft compelling, high‑quality videos that boost creativity and efficiency.
This guide explores how AI can streamline icon creation by explaining key parameters like image weight, style reference, and content reference, showcasing step‑by‑step workflows and real examples that demonstrate customized, high‑quality icon production for web and app design.
This comprehensive guide explains Figma’s core concepts—frames, object relationships, and auto‑layout—showing why frames outperform groups, how to create efficient buttons and icons, solve common frame issues, and leverage auto‑layout settings and nesting for faster, more flexible UI design.
This article examines the rise of generative AI in 2023, analyzes how AI drawing tools lower operational costs, accelerate concept creation, and improve design quality, and provides step‑by‑step guides for using Midjourney and Stable Diffusion in modern internet design projects.
This guide explains how to install and use the Auto‑Photoshop‑StableDiffusion plugin, enabling seamless Stable Diffusion AI image generation inside Photoshop, covering installation steps, core features like txt2img and img2img, and a real‑world design workflow case study.
This article analyzes the problems of traditional Figma file organization—search difficulty, slow loading, scattered content, and collaboration hurdles—and proposes a five‑level hierarchy (Team, Project, Design Files, Pages, Canvas) with practical tips and shortcuts to improve efficiency and maintainability.
This article explains how artificial intelligence tools such as ChatGPT, NewBing and MidJourney can streamline the entire UI design workflow—covering user research, concept generation, prompt engineering, style control, and rapid iteration—to produce higher‑quality, user‑focused interfaces faster.
This guide explains why and how to establish a systematic project file and naming convention for design assets, detailing folder hierarchy, naming rules for iterations, slices, components, and other documents, and showing the resulting improvements in collaboration, version control, and hand‑off efficiency.
This guide walks UI designers through a three‑stage workflow—pre‑design preparation, in‑process creation, and post‑design delivery—offering practical steps, checklists, and visual references to help newcomers produce efficient, user‑focused designs.
This article shares practical strategies for interaction designers to identify and avoid common pitfalls across project initiation, execution, and closing phases, enabling faster, more reliable launches of time‑sensitive activity projects through early involvement, visual workflow mapping, modular components, and coordinated communication.
In this talk, veteran designer Ge Shaocheng shares how data‑driven design, rapid prototyping, and disciplined workflows helped teams at Baidu Nuomi, LinkedIn, Evernote, and JD Cloud&AI create standout products and brand identities, illustrating the balance between finite constraints and infinite value.
Designers often waste time repeatedly sharing design‑link URLs, but by creating a centralized project‑progress table in Shimo and using link insertion, data validation, and conditional formatting, teams can instantly access design resources, streamline communication, and dramatically improve workflow efficiency.
Learn how to efficiently build a minimalist mood board by extracting keywords, gathering visual assets, and generating a final visual guide, a process especially useful for fast‑turnaround banner and popup designs.
This article explores Zhihu’s product design workflow, from requirement gathering and solution planning through design output and effect evaluation, highlighting the role of intuition, visual communication, metric-driven assessment, and how design uniquely adds business value and bridges user experience with product strategy.
This article introduces a macOS app that automatically generates all required icon and launch image sizes for various platforms, outlines its key features, lists the supported platform rules, describes the user interface, and provides a step‑by‑step guide for preparing source images, selecting platforms, choosing export paths, and exporting the assets.
This article explains how designers can boost efficiency by clearly defining goals, applying proven methodologies like WOOP and PDCA, leveraging AI design tools, and managing time, energy, and knowledge resources to achieve higher quality work with lower cost and faster turnaround.
The article outlines five crucial steps for visual designers to collaborate effectively with front‑end engineers, covering environment familiarity, design system creation, proper asset slicing, clear annotation, and pixel‑perfect testing to ensure seamless implementation and reduce miscommunication.
This article presents a six‑step workflow for creating high‑quality icons, covering grid setup, basic shapes, precise geometry, consistent visual elements, minimal detail, and unique touches, illustrated with a before‑and‑after case study of a Corgi dog icon.
This article explains how a series of JDC workflow diagrams break down design requests into modular steps—such as analysis, brainstorming, drafting, review, and delivery—allowing teams to mix, match, and visualize processes efficiently across different demand types.
