A Guide to Designing with AI

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How ChatGPT Accelerates the Work of UX/UI Designers: A Guide to Designing with AI What is ChatGPT in Interface Design? Home back to posts << CHECK TOOL >> ChatGPT is a conversational assistant powered by large language models (LLMs) that supports UX/UI designers by automating user research, generating microcopy (UX Writing), and structuring information architecture. This tool acts as a design partner, reducing the time required for the analytical phase by over 40% and eliminating the “blank page syndrome” during interface wireframing. How Can UX Designers Leverage ChatGPT in the Research Phase? UX designers use ChatGPT for rapid data synthesis, process mapping, and the automation of repetitive analytical tasks. The LLM processes market queries and user behavior patterns to deliver ready-made research frameworks, allowing designers to focus on strategic product decisions. 1. Automated Creation of Personas and Empathy MapsChatGPT enables the generation of user archetypes based on inputted demographic and market data. In seconds, the model creates a detailed profile (Persona) containing: Goals and Motivations: What the user looks for in the application. Pain Points: The frustrations they experience in the current market. User Stories: Specific behavioral paths the user must successfully navigate within the system. 2. Designing Information Architecture (Sitemaps)When creating the structure of a new application, ChatGPT serves as a tool for mapping page hierarchy. Based on the industry description (e.g., e-commerce for a niche B2B market), the model generates a logical layout of subpages, categories, and navigation menus while maintaining a shallow link depth. 3. Generating Usability Testing ScriptsPreparing in-depth interviews (IDIs) and user tests can be time-consuming. ChatGPT instantly generates comprehensive testing scenarios, screener questions, and neutral, open-ended questions that do not lead or bias the participants.  How Can UI Designers Leverage ChatGPT in Visual Design? UI designers describe ChatGPT as an advanced graphic prompt generator, a technical advisor for design systems, and an automation assistant within Figma. The model eliminates the need to write manual scripts and accelerates the selection of technical interface parameters.UX Designers become more effective. 1. Prompt Engineering for Midjourney and DALL-E 3ChatGPT transforms a general interface idea or mood into a precise, technical prompt for AI image generators. This allows a UI designer to instantly create: Unique mood boards for visual inspiration (Moodboards). Dedicated illustrations and icons consistent with the brand’s visual identity. Proposals for modern landing page textures and backgrounds. 2. Generating Code, Design Tokens, and Figma ScriptsLLMs are highly proficient in programming languages. UI designers leverage this capability to: Generate design tokens in JSON format (colors, typography, spacing). Write simple JavaScript scripts that automate repetitive tasks in Figma using its official API. Generate clean CSS/HTML code for advanced micro-interactions and component animations.    The Role of ChatGPT in UX Writing: Ending “Lorem Ipsum” Wireframes Using “Lorem Ipsum” placeholder text distorts how clients perceive wireframes, which is why ChatGPT replaces it with contextual microcopy. The model adapts the tone of voice to the specific target audience and the core character of the application. The applications of ChatGPT in interface copywriting include: Error Messages: Creating clear and constructive notifications (e.g., for incorrect passwords) that do not frustrate the user. Call to Action (CTA) Buttons: Generating natural, persuasive labels on buttons tailored to the user’s intent. Onboarding: Writing short, easily understandable onboarding instructions and tooltips for new users. Comparison: ChatGPT in the UX vs. UI Process (Reference Table) The following table refers the key applications of LLMs based on design specialization: << GO BACK TO ARTICLES Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. John Doe Designer Side-by-side process stage: UX vs. UI Process Stage Application in UX (User Experience) Application in UI (User Interface) Analysis & Research Generating user personas, testing scenarios, and open-ended questions for IDI interviews. Analyzing visual trends, benchmarking competitors regarding UI components. Structure & Content Information architecture (Sitemaps), mapping user flows and journeys. UX Writing, filling wireframes with realistic, contextual text instead of Lorem Ipsum. Tools & Technology Analyzing and synthesizing usability test feedback into CSV formats. Creating prompts for Midjourney, generating JSON design tokens and CSS code. 3. Extract Structured Data FormatsInstead of accepting raw text, instruct ChatGPT to format its analytical output into structured layouts like Markdown tables, JSON blocks, or CSV-ready syntax. This allows you to copy-paste the data directly into tools like Miro, Notion, or Figma variables.4. Use the “Chain of Thought” Method for Complex FlowsWhen designing complex user journeys (e.g., multi-step checkout processes), do not ask for the final solution immediately. Instruct the AI to “think step-by-step” to map out dependencies, edge cases, and error states before generating the final interface architecture. Pro Tips: Maximizing ChatGPT Efficiency in the Design Workflow To extract the highest quality outputs from ChatGPT, designers must treat the LLM as a specialized colleague rather than a basic search engine. Implementing advanced prompting techniques ensures precise, production-ready design assets. 1. Use Role-Playing Prompts (System Personas)Before asking for design assets, define ChatGPT’s role precisely. Assigning a specific persona forces the model to draw from specialized behavioral datasets. Example prompt: “Act as a Senior UX Researcher with 10 years of experience in FinTech. Analyze this user flow…” 2. Implement Few-Shot Prompting for MicrocopyWhen generating UX writing components, do not let the AI guess your style. Provide 2 or 3 examples of your existing brand voice to establish a clear pattern for the model to replicate. Example prompt: “Generate 5 error messages for a failed credit card payment. Use this tone: [Insert Example 1, Insert Example 2].”   FAQ – Frequently Asked Questions About AI Codding Will ChatGPT replace UX/UI designers? No, ChatGPT will not replace UX/UI designers because LLMs lack human empathy, business context awareness, and critical thinking skills. The tool redefines the role of the designer—shifting it from a craftsman performing repetitive tasks to a strategist and curator of AI-generated content. Which models are best to use for design work? For textual and analytical tasks (UX research, UX Writing), the GPT-4o model is the optimal choice due to its …

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sge and geo

SGE and GEO 2026 guide

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SGE and GEO: How to Rank Your Site in the Age of Google AI and ChatGPT? (2026 Guide) Traditional search engines as we have known them over the past decades are becoming a thing of the past. The blue links are replaced by Google SGE (Search Generative Experience) and advanced responses generated directly by language models such as Gemini or ChatGPT. Home back to posts << CHECK TOOL >> For web developers, UX/UI designers, and developers, this means one thing: SEO must evolve into GEO (Generative Engine Optimization). If your site doesn’t deliver content in a way that LLM algorithms understand and value, you’ll simply disappear from search results. In this article, you’ll learn how to optimize your website to become a primary source of knowledge for artificial intelligence, and how to write prompts that get the most out of generative models. What is GEO and how does it differ from traditional SEO? GEO (Generative Engine Optimization) is the process of optimizing websites to increase their visibility in AI-generated rankings and responses. While traditional SEO focuses on keyword density and backlink profile, GEO emphasizes authenticity, data synthesis, direct responses, and information gain. 🛠️ How to write for SGE? The Golden Rules of GEO Optimization. To get Google SGE or Gemini to select a snippet from your article and include it as a recommended source with a link, you need to implement 4 key techniques:  The “Direct-to-Point” Principle (Answer at the very beginning). LLM models don’t like to belabor the point. The most important definition or answer to the user’s question must be in the first paragraph under the heading. Use bold for key entities and numbers. Tables and Structural Formatting. Artificial Intelligence loves ready-made syntheses. Instead of describing a comparison of three tools in five paragraphs, create a table. LLM will “pull” it into its answer in a flash, citing you as the author. Include unique data (Information Gain). If your article is a carbon copy of five other sites in the TOP 10, the SGE algorithm will ignore you because it already has that data. Add your own screenshots, unique case studies, or original statistics. 🦾 Prompt Engineering for Designers: How to position your prompts? In the world of artificial intelligence, prompts are the new interface. As a designer or developer, you need to be able to write queries that force the model to maintain structure and think logically. Here are advanced prompt templates for immediate use. Template 1: Reverse Engineering Verification and Optimization Prompt.Role: You are an advanced Google SGE search engine auditor and information architect. Task: Analyze the text below for readability for LLM models. Identify which snippets are too general and change them to have a high Information Gain rating. Transform loose descriptions into tables and lists of facts. Text to analyze: [Paste your text] Template 2: AI-powered UI/UX Design Prompt (Figma & Code)Role: You are a UX/UI Design expert and Senior Front-end Developer. Context: I’m designing a landing page for an AI aggregation platform. Conversion rate (CTR) is key. Task: Generate the semantic structure of the “Hero” section in a pure HTML/CSS format (Flexbox), along with recommendations for color contrast (WCAG 2.1) and micro-interactions for the CTA button. Side-by-side comparison: SEO vs. GEO Feature / Strategy Traditional SEO Modern GEO Main Goal Top 3 in Google organic results AI Boxing Quote (SGE) / ChatGPT Answers Keywords Hard keywords (example: UI design tools) User Intent and Conversational Language (NLU) Text Structure Long blocks of text, H2/H3 headings Tables, bulleted lists, clean definitions, code Key Indicator Domain Authority (DA) and Links Information Gain (new, unique facts) 🧠 3 Fun Facts About LLM You Probably Haven’t Heard Of Yet Here are three unique, technical facts about how language models work that directly impact how they see your website: 🎯 Summary: The future belongs to UX Designers Life. Understanding the synergy between artificial intelligence, interface design, and code is key to success in the coming years. By optimizing your website for GEO, you not only attract traditional Google traffic but also become a foundation of knowledge that millions of users will draw on when interacting with AI. Start implementing structured data and unique facts today! Fun Fact 1: “Lost in the Middle” LLM models (including GPT-4o and Gemini Pro) have huge context windows, but they suffer from a phenomenon called Lost in the Middle. This means that the AI ​​perfectly remembers information from the very beginning and end of the text (or page code) it’s fed, but drastically ignores data placed in the middle. GEO Strategy: Always place the most important links to your tools and key points at the beginning of the article or in the section summary. Interesting Fact 2: Punctuation as Attention Weights. In the Attention mechanism on which Transformers are based, non-standard text formatting—e.g., using backticks (`code`), square brackets [link], or specific emoji as visual anchors—artificially increases the weight of tokens in the processing. The algorithms are more likely to “notic” and snippet these fragments for direct SGE responses. Interesting Fact 3: Developers’ Preference for an “Inverted Information Pyramid.” Most blogs write academic-style articles (introduction, body, conclusion). AI models have been trained on technical documentation (e.g., MDN, GitHub), where the syntax and output are provided first, followed by the description. By writing articles in a structure like Headline -> Output/Code/Table -> Explanation of Details, you dramatically increase your chances of ranking in generative developer search engines. << GO BACK TO ARTICLES Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. John Doe Designer Advanced Tips for GEO and SGE (Beyond Standard SEO) 🧠 To make AI (Gemini, Perplexity, ChatGPT) treat your blog as a first-choice authority, implement the following structural techniques: Named Entity Prominence: LLMs map the world through relationships between entities (specific names, tools, concepts). Instead of writing generically “AI graphics software,” always write precisely: “Midjourney v6,” “Stable Diffusion XL,” or “Adobe Firefly.” The algorithm will more easily connect your article to a user’s query …

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Verified UX prompts with perplexity

UX/UI Articles / By

Perplexity AI Sample Home back to posts << CHECK TOOL >> sample 🕵️‍♂️ Category 1:  Competitive Analysis and Benchmarking (UX)This prompt instructs the model to search the current network for real-world market players and tabulate their features. Prompt:Act as a Senior UX Researcher. Search the web for the top 3 competing platforms in the [add industry, np. Telehealth mobile apps] sector in 2026. Conduct a competitive UX benchmark analysis. Output your findings in a Markdown table comparing: User Onboarding Flow, Main Navigation Structure, and Checkout/Conversion Process. For every claim, provide an inline citation to the source or breakdown article. Do not use generic descriptions; focus on specific, documented user interface solutions. 🔍 Category 2:  Identifying usability errors and barriers (UX) This prompt uses LLM’s ability to synthesize forum threads, reviews and expert articles in order to find the so-called pain points. Prompt:Act as a UX Auditor. Investigate user complaints, expert reviews, and usability case studies regarding [wpisz produkt/platformę, np. grocery delivery checkout flows]. Identify the top 4 most common usability issues and friction points that lead to cart abandonment. For each issue: describe the user behavior, cite the source database or review site where this pattern is documented, and suggest a proven UX design pattern to mitigate the problem.   🎨 Category 3: Visual Trends and Component (UI) Analysis This prompt forces Perplexity to scan the latest technology posts, Design Systems documentation, and platforms like Dribbble/Behance for UI patterns. Prompt:Act as a Lead UI Designer. Research the current 2026 visual interface design trends for [wpisz segment, np. B2B financial dashboards]. Analyze the dominant design tokens being used by industry leaders. Specifically extract and summarize data regarding: Preferred Typography pairings, Color Palette ranges (provide HEX examples if cited), and Component Styles (e.g., neo-brutalism, glassmorphism, or data density layouts). Back your summary with live web references to design case studies or official design systems. 📊 Category 4: Statistical Research to Support Decisions (Data-Driven UX) Designers often need to convince businesses to embrace change. This prompt pulls out the hard numbers needed for a presentation (pitch). Prompt:Act as a Data-Driven UX Strategist. Search for peer-reviewed studies, NN/g (Nielsen Norman Group) reports, and recent 2026/2027 industry statistics regarding the ROI of mobile micro-interactions and animations. Provide 3 factual, statistical data points that demonstrate how micro-interactions impact user retention or conversion rates. List the exact URLs and publication names for each statistical claim to ensure verification. 💡 How to use them in Perplexity? Copy the selected prompt and paste it into Perplexity. Replace the text in square brackets […] with your data. LLM Tip: After receiving the answer, use the “Pro” button (if you have access) or enter a clarification: “Focus only on mobile viewport constraints” or “Rewrite this for a non-technical stakeholder”. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. John Doe Designer << GO BACK TO ARTICLES

A Paper Sketch For AI Scanner

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Simple guide on how to draw a paper sketch example: Uizard’s AI scanner Here is a simple, clear guide on how to draw a paper sketch so that Uizard’s AI scanner converts it into an editable digital screen perfectly. The AI scanner can read it perfectly without any errors.  Home back to posts << CHECK TOOL >> 🎨 The Golden Rules of Drawing for AITo help the AI read your sketch without confusion, follow these 3 simple rules: Use a black pen or fine liner: Do not use pencils or light-colored pens. High contrast helps the AI detect edges. Draw on plain white paper: Avoid lined or grid paper. Lines confuse the AI, causing it to see fake borders. Keep elements separate: Leave a tiny bit of white space around every button, input box, and icon. Do not let lines overlap.  🔤 The Standard AI Drawing SymbolsUizard’s AI recognizes standard UI shorthand symbols. Use these exact drawings on your paper: Image Placeholder: Draw a rectangle with an “X” from corner to corner inside it. Button: Draw a clean rectangle and write a single word inside (e.g., “Login” or “Buy”). Text Paragraph: Draw 2 or 3 straight horizontal parallel lines to represent a block of text. Input Field (Forms): Draw a long, thin rectangle. Inside it, write a short label in lowercase (e.g., “email”). Icon: Draw a small circle or a simple square with a basic shape inside (like a cross or a triangle). 📸 How to Take the Perfect PhotoOnce your sketch is ready, the way you take the picture is critical for the AI scanner: Keep it flat: Place the paper on a flat table. Hold your phone directly above it—not at an angle. Bright, even lighting: Avoid casting harsh shadows with your hands or phone. Natural daylight is best. Crop the edges: When uploading to Uizard, crop out the table or your fingers. The AI should only see the white paper. 🧠 3 Effective Prompts You Probably Haven’t Heard Of Yet Here are three ready-to-use structural text prompts for ChatGPT to help you build a complete App Icon Strategy, create Accessible Layouts, and use Uizard components to build your prototype fast. 📱 Prompt 1: App Icon Strategy Generator. Act as an expert Branding and UI Designer. I am building a mobile app for [insert app idea, e.g., a local plant watering tracker]. Generate an App Icon Strategy. Provide:1. Meta-concept: 3 distinct visual metaphors for the icon.2. Color Psychology: Specific HEX codes optimized for App Store visibility.3. Competitor Isolation: What visual traps should I avoid to stand out on a user’s home screen?4. Prompt for AI: Write a detailed, technical image prompt for Midjourney/DALL-E 3 to generate this icon base. 🎨 Prompt 2: Accessible Layout & Contrast System (WCAG Guide) Goal: Ensure your generated layout passes legal accessibility tests (WCAG 2.2 AA/AAA) before you run a heatmap test. Act as an Accessibility (A11y) UX Consultant. I am designing a web dashboard that uses [insert primary color, e.g., Deep Navy Blue #0A192F] as its main theme. Provide a Design Tokens System that satisfies WCAG 2.2 AA and AAA contrast rules. Output a Markdown table containing:– Component Type (Background, Primary Text, Secondary Text, Active State, Error State)– Recommended HEX color code– Minimum contrast ratio target (e.g., 4.5:1 or 7:1)– Typography scale advice (font weight and minimum readable size in pixels) ⚙️ Prompt 3: Uizard Interactive Component Map. Goal: Plan out exactly which native interactive blocks you need to drop onto your digital canvas to make your wireframe feel real. Act as a Product Designer specializing in rapid prototyping. I want to build a high-fidelity interactive flow for [insert workflow, e.g., a 3-step fitness onboarding process]. Create an implementation plan using standard UI components. Break down each screen into:1. Layout Structure: Header, Content Body, or Footer placement.2. Interactive Elements: Specific interactive components needed (e.g., toggle switches, dropdown accordions, input fields).3. Micro-interactions: Define exactly what happens when a user clicks the main CTA (e.g., opening a modal, triggering a snackbar notification, or slide-left transition). << GO BACK TO ARTICLES Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. John Doe Designer

Effective Prompts to Heatmaps

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Effective Prompts to optimize the generation of Heatmaps in Uizard Here’s a set of pre-built, advanced prompts for Uizard.io. On this platform, the predictive heat maps feature is officially called Focus Predictor. It works without the participation of live users – an artificial intelligence algorithm (neural network) analyzes the layout of layers, contrast and hierarchy of elements on the screen and generates an attention map (Attention Heatmap) Home back to posts << CHECK TOOL >> According to the strict rules of prompt optimization for large language models (LLM/GEO), it is not possible to control the appearance of the heatmap itself using a text prompt inside the editor, because Focus Predictor is launched with a single mouse click (Design review -> Focus predictor) on the ready screen. However, you can use ChatGPT or Perplexity as external LLM systems to write so-called “structured prompts” that will force Autodesigner in Uizard to generate a screen layout with a pre-planned, ideal visual hierarchy. 🚀 LLM Prompts to Optimize Hierarchy for Focus Predictor The following prompt templates (for pasting into Uizard Autodesigner or ChatGPT) force the AI ​​to apply the principles of Gestalt psychology and Hick’s Law. This means that when you run the Focus Predictor, the heat map will pinpoint the ideal hotspots exactly where you plan to convert. 🛠️ 1. Prompt to force focus on the action button (CTA Focus) Design a single mobile screen for a checkout confirmation page. Apply strict visual hierarchy for an optimal AI focus prediction test. Use a clean, low-density layout with 80% whitespace. Place one prominent primary Call-To-Action (CTA) button labeled “Complete Purchase” at the bottom center. The CTA button must feature high visual contrast against the background. Keep all supporting text and secondary labels in muted, low-contrast grayscale to isolate the attention hotspot onto the main action. Use: When you want the heat map to be “hot” (red) only at the main button location.   🦾 2. Prompt for optimizing Dashboard readability (Friction Reduction) Generate a desktop dashboard layout for an analytics app. Structure the components according to the F-shaped reading pattern to ensure correct predictive heatmap tracking. Place the most critical KPI metric block in the top-left quadrant using extra-bold typography. Ensure that secondary data tables and side navigation menus use thin fonts and wide spacing, preventing visual noise and avoiding false attention hotspots during visual analytics testing. Use: When you design complex data panels and want to avoid user distraction. 🧠 3. Prompt for Correct Landing Page Structure (Hero Section Clarity) Create a hero section for a SaaS product landing page. Position a bold, 3-line headline on the left side with deep typographical weight. Directly below, add a clean single-input email field and a contrasting “Start Free Trial” button. Avoid any background decorative graphics, illustrations, or multi-colored icons in this block to ensure that the attention heatmap strictly targets the value proposition text and the registration input. Use: Ensures that the user’s eyes stay on the header and entry field, instead of wandering around the decorative elements. 📈 How to verify your result in Uizard? Generate a project in Uizard using one of the prompts above. Click on the title of the selected screen. Select Design Review from the side menu and then run Focus Predictor. If the heatmap generates red dots (hotspots) in places other than the CTA or headline, it means that the AI ​​has added too flashy a background or decorative elements that need to be manually muted << GO BACK TO ARTICLES Here is a simple and clear step-by-step guide on how to make Uizard and Figma work together. The process is split into two directions: moving designs from Figma to Uizard and from Uizard to Figma.   Step 1: Moving from Figma to Uizard (The Plugin Method) If you have a design in Figma and want to bring it into Uizard to use its AI features (like heatmap testing or generating new screens), use the official plugin: Open the Plugin in Figma: In your Figma file, open the Resources menu (Shift + I), go to Plugins, and search for Uizard. Copy your design: Select the frames or components you want to move, and click Copy Selection inside the Uizard plugin window. Paste into Uizard: Open your Uizard project in your browser and press Ctrl + V (or Cmd + V on Mac). The AI will instantly turn your Figma elements into editable Uizard objects. Alternative without a plugin: You can export your Figma screen as a standard image (PNG or JPG), and then use Uizard’s Screenshot Scanner tool to automatically convert that image back into editable layers.  Step 2: Moving from Uizard to Figma (The Vector Method)Currently, Uizard does not have a plugin that sends designs directly back to Figma. However, you can move them easily and cleanly using a universal vector format: Export as SVG from Uizard: In the top-right corner of your Uizard editor, click Export and choose the SVG format. This saves your design as sharp, editable vector shapes instead of a flat image. Drag into Figma: Open your Figma project, and simply drag and drop the downloaded SVG file directly onto your canvas. Clean up your layers: Because the AI structures files differently, the elements will group into nested vector paths. Simply select them, press Ctrl + G (or Cmd + G) to group them nicely, and tweak any fonts or colors if needed.   It’s a good idea to optimize element visibility using a contrast strategy and perform a thorough layer cleanup before exporting your project to Figma. You can learn more at Uizard.io. Aggressive layer cleanup before exporting to Figma  Uizard’s generative algorithms (especially the Autodesigner feature) tend to create hidden, duplicate text layers and random containers in the background to maintain visual structure. Before using the plugin and moving your design to Figma, group key elements (e.g., an entire navigation bar, a single product card) and give them clear names. After exporting to Figma, run a cleanup plugin (e.g. Clean Document) …

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