George UX Conf’s Post

AI can move fast, generating wireframes, mood boards, even interface ideas in seconds. But speed isn’t design. At Db_studio, we treat AI as an accelerator, not a substitute for creative thinking. AI output can inspire, but it often misses the nuance, context, and usability that real products need. That’s where our designers step in, translating raw concepts into scalable, user-centered systems that perform in the real world. True design lives between inspiration and implementation, where strategy, creativity, and craft come together to create something lasting. Read the full story here → https://lnkd.in/gybmBT5E #uxstrategy #futureofwork #aiworkflow #designhandoff

𝗔𝗜 𝗶𝘀𝗻’𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗶𝗻𝗴 𝗱𝗲𝘀𝗶𝗴𝗻—𝗶𝘁’𝘀 𝗿𝗲𝗶𝗻𝘃𝗲𝗻𝘁𝗶𝗻𝗴 𝗶𝘁𝘀 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄. Here’s what changes when we design *with* models: 𝗕𝗿𝗶𝗲𝗳𝘀 𝗯𝗲𝗰𝗼𝗺𝗲 𝗱𝗮𝘁𝗮𝘀𝗲𝘁𝘀. Living, versioned, measurable. 𝗘𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝘀𝗰𝗮𝗹𝗲𝘀. We search spaces, not single options. 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲. Tokens, policies, and guardrails as APIs. 𝗥𝗼𝗹𝗲𝘀 𝘀𝗵𝗶𝗳𝘁. Designers curate intent, shape prompts, and audit results. 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗲𝘃𝗼𝗹𝘃𝗲𝘀. From “final files” to adaptive systems with telemetry. 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗺𝗮𝘁𝘁𝗲𝗿𝘀. Data provenance, bias checks, reversible decisions. In the image, two pink “stones” balance: **velocity vs. integrity.** AI lets us hold both—ship faster without dropping craft—if we design the system *around* the model, not just *on top of it.* 𝗪𝗵𝗮𝘁 𝘄𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝗿𝗲𝗱𝗲𝘀𝗶𝗴𝗻 𝗳𝗶𝗿𝘀𝘁 𝗶𝗳 𝗲𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗲𝗿𝗲 𝗰𝗵𝗲𝗮𝗽 𝗮𝗻𝗱 𝗲𝘃𝗶𝗱𝗲𝗻𝗰𝗲 𝘄𝗲𝗿𝗲 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀? #DesignLeadership #GenerativeAI #ProductDesign #UX #DesignSystems

Problems with Vibe Coding Generative UI tools often ignore a person’s memory, habits, and trust. Each user gets a slightly different fresh UI, which is bad for perception. Dynamic-interfaces created by AI destroy familiar patterns and confuse. Hyperpersonalization requires a huge amount of behavioral data, and UX is not endless variety, it is rather recognizability and context. Vibe coding is still not able to be flexible enough in implementation to provide cost reduction and automation of any processes. #UXDesign #ProductDesign #AIUX #EthicalDesign #ProductStrategy #Fintech #VibeCoding #AXDesign

🚀 Technology evolves fast — but empathy never goes out of date. AI can optimize flows, personalize interfaces, and even predict intent. But it still can’t understand why people feel the way they do. Great UX isn’t just about smart systems — it’s about human sensitivity. When data meets empathy, design turns from functional to meaningful. That’s where real differentiation happens. AI might know what we do — but only humans can sense why. As designers, our responsibility isn’t just to simplify interfaces. It’s to design moments that make people feel seen, understood, and valued. Technology connects systems. Design connects hearts. #UXDesign #HumanCenteredDesign #AIinDesign #Leadership #DigitalExperience

🧠 You’ll be hearing this word a lot soon: 𝐇𝐲𝐩𝐞𝐫-𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧. It’s when products stop being static and start adapting to 𝘦𝘢𝘤𝘩 𝘶𝘴𝘦𝘳’𝘴 𝘪𝘯𝘵𝘦𝘯𝘵, 𝘣𝘦𝘩𝘢𝘷𝘪𝘰𝘳, 𝘢𝘯𝘥 𝘤𝘰𝘯𝘵𝘦𝘹𝘵, in real time. Powered by LLMs (and Data + Memory), this isn’t just smarter UX. It’s a shift in how we 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬: - Products will 𝘭𝘦𝘢𝘳𝘯 from every interaction. - Interfaces will 𝘦𝘷𝘰𝘭𝘷𝘦 instead of waiting. - Systems will 𝘢𝘯𝘵𝘪𝘤𝘪𝘱𝘢𝘵𝘦 needs before they’re expressed. We’re entering an era where every user gets a product that feels uniquely theirs, and every team has the tools to build it. Excited to see what kind of products will truly leverage this shift. 👀 #HyperPersonalization #AI #LLMs #ProductDesign #UXDesign #ProductInnovation #FutureOfAI #MachineLearning #GevAI

𝗧𝗵𝗼𝘂𝗴𝗵𝘁𝘀, 𝗣𝗶𝘅𝗲𝗹𝘀, 𝗣𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 & 𝗕𝗲𝘆𝗼𝗻𝗱 : 𝗔𝘁 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝘀𝗲𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝗵𝘂𝗺𝗮𝗻 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆 𝗮𝗻𝗱 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲. 𝗟𝗲𝗽𝗼𝗹𝗮𝗯𝘀’ 𝗔𝗜-𝗛𝘂𝗺𝗮𝗻 𝗗𝗲𝘀𝗶𝗴𝗻 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 Over time, we’ve refined a framework for product design that balances the strengths of both AI and human creativity. Here’s how it works at Lepolabs: 1. Research & Discovery – AI tools mine data, uncover trends, analyze competitors, surface potential feature ideas. 2. Ideation & Concept – Human designers interpret findings, sketch, explore radical ideas, build out user stories and personas. 3. Prototyping & Testing – Rapid mock-ups, user feedback, iteration. AI may help suggest improvements; humans ensure the prototype holds together emotionally, visually, functionally. 4. Final Design & Storytelling – Visual design, micro-interactions, tone, branding — all driven by human insight. This is what we call the Lepolabs AI-Human Design Playbook. It’s not about rejecting AI. It’s about harnessing it where it adds noise reduction, speed, perspective — and reserving human creativity for the parts that define identity, emotion, differentiation. We believe in a design process that leverages AI AND centres human creativity. That’s how we build products that matter—not just products that work. Do you have a framework in your organisation for balancing AI + human input? I’d love to compare notes. #DesignFramework #AIinDesign #HumanCreativity #UX #ProductDesign #DesignProcess #Lepolabs

Yesterday’s 'digital transformation' isn’t enough... Your next product must be AI-native — built on live data, safe automation, and transparent UX at every layer. Because if users move in real time…why doesn’t your product? 🚀 Get your AI-readiness plan — and see how we turn static systems into adaptive, learning products. #AINative #DigitalTransformation #NextZenMinds #Innovation #AIEngineering #AIPowered

It hit us that we need frameworks that let AI agents work efficiently while humans guide strategy and validate outcomes. Just as we shifted from command-line to GUI for human experience, we must now shift to Agent Experience (AX). But AX isn’t just a new interface - it’s an inversion of design priorities. Where UX optimizes for human intuition, AX demands machine precision.

Most digital tools still feel like tools. Menus, clicks, and clunky UX that keep people at a distance. We’re building HumanAI to bridge that gap. Turning stiff interfaces into natural interactions. Replacing friction with flow. Because the future of engagement isn’t about teaching people to adapt to technology...it’s about technology adapting to us. HumanAI makes engagement feel effortless, the way it should be.

𝐁𝐞𝐬𝐭 𝐔𝐈/𝐔𝐗 𝐭𝐨𝐨𝐥𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟓-𝟐𝟎𝟐𝟔: 𝐅𝐫𝐨𝐦 𝐅𝐢𝐠𝐦𝐚 𝐭𝐨 𝐀𝐈 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬 Your designer just delivered amazing mockups. But will users know how to use the product and actually convert? Smart teams don’t leave UX to chance. They use tools that reveal real behavior, validate ideas early, and catch issues before they become costly. Here's the toolkit we're using to build effective designs. ➡➡➡ These tools replace guesswork with data-driven confidence. Every design decision becomes defendable, every user flow gets validated, and problems get caught before users ever see them. ❓ What's the biggest blind spot in your current design process? #UXDesign #ProductDesign #UIUX #Figma #AI #UserResearch