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

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