AI-Powered Design Prototyping

I redesigned my entire UX/UI process with AI. It’s not about “use ChatGPT to brainstorm.” I mean, I rebuilt the whole pipeline. From product idea to prototype. What used to take months? Now gets done in days. Here’s what it looks like step-by-step: 1. Instant User Flows I drop rough product ideas into ChatGPT. (It's not the public one; it's a custom GPT trained on how I think.) It gives me: - Sitemap - User journey - Logic flows All in less time than it takes to make coffee. 2. Wireframes Without Drawing I stopped sketching. I describe the layout in plain English, and Magician does the rest. "Hero. CTA. Testimonials." Boom. Wireframe. No more dragging boxes like it’s 2015. 3. AI-Built Design System Spacing? Typography? Button styles? I just describe the vibe. Tools like Relume and Uizard take that and build me a full design system. This used to take WEEKS. Now it’s done before lunch. 4. Smarter Figma Time Now everything moves to Figma. But I don’t waste time pixel-pushing. AI plugins handle: - spacing - responsiveness - and accessibility. I just make the ideas click. 5. Prototyping = Auto-On Final step? Auto-connect flows with Figma’s AI tools. Clickable. Shareable. Client-ready. Dev-approved. No extra buttons. No guesswork. Here’s the real punchline: AI didn’t replace my work. It replaced the boring parts, so I can focus on design thinking. It’s not about working faster. It’s about designing smarter. We’re not in 2015 anymore. Let’s build like it’s 2030. What part of your UX workflow do you still do manually? Curious to hear.

I told my design team to use AI. Their reaction shocked me... As a design agency owner, I'm often asked: "Aren't you worried about AI replacing designers?" My response? Absolutely not. In fact, I'm excited about AI's potential to supercharge our creative process. AI isn't here to replace designers – it's here to enhance them. Think of AI as a powerful new tool in a designer's toolkit. It's not about replacement; it's about augmentation and efficiency. Here's how AI is empowering designers today: ↳ Rapid prototyping with AI-assisted wireframing ↳ Streamlining asset creation with generative fill ↳ Boosting ideation through AI-powered brainstorming ↳ Automating tedious tasks like resizing and formatting The result? Our designers now have more time to focus on what truly matters: creativity, innovation, and solving complex design challenges. And our clients get all the benefits. AI excels at handling repetitive tasks, but it still struggles with: ↳ Understanding nuanced brand contexts ↳ Generating truly original concepts ↳ Emotional intelligence in design ↳ Developing a unique creative voice That's why the human touch remains irreplaceable in design. By embracing AI, we're not replacing designers – we're elevating them. It allows us to iterate faster, explore more options, and deliver better results for our clients. The designers who thrive will be those who see AI as a collaborator, not a competitor. How are you integrating AI into your design process? What tasks has it helped you streamline? Share your experiences below!

Happy Friday, this week in #learnwithmz, let's explore how AI is revolutionizing product prototyping, from idea to interactive mockup faster than ever. I’m delivering an internal talk on this topic for my team, and thought it would be valuable to share some highlights here as well. 𝐓𝐨𝐩 𝐀𝐈 𝐏𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬 𝐟𝐨𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫𝐬 -Visily Transform text prompts, sketches, or screenshots into editable UI designs. 🔗 https://lnkd.in/gcerJweq - Uizard Generate wireframes and mockups instantly from text descriptions. 🔗 https://lnkd.in/grdSadcb - Microsoft 365 Copilot Prototype ideas directly within your workflow using Word, Excel, PowerPoint, and Teams. Great for early PRDs, visualizations, and cross-team brainstorming. 🔗 https://lnkd.in/gB2PNq9k - V0 by Vercel Create full-stack web apps from prompts, integrating frontend and backend. 🔗 https://v0.dev/ - Bolt Rapidly build and iterate on AI-driven product ideas. 🔗 https://boltai.co - Lovable Design and deploy AI-powered products with minimal coding. 🔗 https://lovable.so 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 - NodeTool: Build and automate AI workflows without code. 🔗 https://lnkd.in/gnnB_7UU - ReacType: Visualize and export React applications with drag-and-drop. 🔗 https://lnkd.in/geQbxbEC 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠𝐬 - Speed vs. Precision: AI tools are great accelerators, but manual polish is still needed for complex workflows and specific needs. - Experiment often: The space is evolving fast; test, learn, and share back. - Check before you use: Always check your company’s policies on tool usage, especially when working with sensitive product data or proprietary designs. 𝐅𝐮𝐫𝐭𝐡𝐞𝐫 𝐑𝐞𝐚𝐝𝐢𝐧𝐠 A Guide to AI Prototyping for Product Managers by Lenny Rachitsky and Colin Matthews 🔗 https://lnkd.in/ge6nbzcr Which AI prototyping tools are in your workflow or on your radar? Drop your experiences or recommendations below 👇 #AI #ProductManagement #Prototyping #AItools #learnwithmz

Most AI ideas die before they even get off the ground. Why? Because teams get stuck in endless debates instead of building something tangible. The best way to get leadership buy-in, align teams, and validate your AI concept? Prototyping. But here’s the secret—you don’t need to code to prototype AI effectively. Instead of diving into AI coding tools like Cursor or Replit, you can use no-code AI prototyping tools like Notion AI, UX Pilot, CustomGPTs, and Voiceflow to move even faster. In our latest AI Community Learning Series, Polly M Allen (Ex-Principal PM, Alexa AI) and Rupa Chaturvedi (AI UX Leader, ex-Amazon, Google, Uber) shared how to: ✅ Align teams faster with interactive AI prototypes (instead of lengthy PRDs) ✅ Use no-code tools to build AI-powered experiences—without writing a single line of code ✅ Pick the right AI use cases and avoid overcomplicating solutions Plus, they demoed how to build a Shopping AI Assistant live—showing exactly how to structure, test, and refine AI interactions in minutes. Curious how they did it? Full recap + session replay 👇 Have you built an AI prototype before? What worked (or didn’t)? Share your thoughts below! #ProductManagement #AI #Design #Prototyping

Can AI Really 10X Your Design Thinking Workshops? Remember when UX workshops meant a room full of people voting with sticky notes and sharpies? Fancy executives acting like kindergartners for a day, everyone feeling creative, but walking away with... just another idea? The frustrating truth: traditional design workshops rarely produced tangible outcomes. Just vague concepts that would take months to materialize (if ever). Those days are over. With AI tools integrated into each stage of the IDEO design thinking process, we can compress months into hours and deliver actual working prototypes: 1️⃣ EMPATHIZE: Use Gemini (by Google or ChatGPT by OpenAI for deep research and user insights in minutes 2️⃣ DEFINE: Let any LLM and AI articulate precise problem statements that hit business and user needs 3️⃣ IDEATE: Generate wireframes with Claude AI while team collaborates in Miro (You can also do it in FIgma, or with sharpies!). Take the image of the sketched wireframe, upload to claude and let it do the code. 4️⃣ PROTOTYPE: Transform concepts into interactive demos with Lovable before lunch (you can even import Figma's sketches at this point) 5️⃣ TEST: Gather immediate feedback and iterate in real-time on your live, coded concept and prototype. I recently ran a workshop at a big bank where we went from vague challenge to working prototype in a single day. The executives weren't playing anymore—they were speechless. This isn't incremental improvement. It's a complete reimagining of the design process. Last week when I said "Figma is dead," people told me that the design process can't be replaced by AI. I never said it would be replaced—I said we should redesign it with AI tools. And that's exactly what's happening.

🎨Post 4: Designing at the Speed of Thought—How Product & UX Led with GenAI One of the most exciting parts of our GenAI journey? Watching Product and UX go from curious to fearless. They didn’t wait on engineering backlogs or roadmap prioritization. They used GenAI to prototype rapidly, test ideas faster, and iterate more freely. It was like designing at the speed of thought. Instead of asking, “What if?”—they started building “What’s next?” And because we already had a strong product mindset across the org, these experiments weren’t random. They were aligned to strategy, rooted in real user problems, and focused on delivering value. UX associates like Andrew Schoepflin, used AI to generate flows, mockups, and content variants in minutes. Product associates, like Eddie W., used it to validate ideas, simulate edge cases, and move from hypothesis to feedback in record time. This wasn’t just productivity—it was creativity, unlocked. And the results spoke for themselves: ✨ Better ideas, surfaced earlier 🚀 Faster iteration and validation 🧠 A deeper understanding of what users truly needed When cross-functional teams start using AI not just as a tool, but as a thought partner—innovation doesn’t just accelerate, it evolves. How are your teams using AI to innovate faster, together? #AI #Productmindset #rapidprototyping

Architectural Exploration and AI PROOF OF CONCEPT / NEW WORKFLOW As someone developing in-house technology with the intersection of AI and architecture, I've been fascinated by how emerging technologies are democratizing visualization processes. What once took weeks can now be accomplished in minutes, shifting our creative possibilities dramatically. My recent explorations have revealed promising developments: - No reason to learn Grasshopper, Just Chat. - 3D model generation through LLM integration with Grasshopper - Near-instantaneous conceptual visualization - High-fidelity rendering through AI assistance - Rapid design iteration capabilities Perhaps most significant is that many of these tools are becoming accessible and more EASY through open-source communities, creating opportunities for practices of all sizes to benefit. This acceleration isn't just about efficiency—it fundamentally alters our behavior in ideation workflow. When visualization barriers fall, we can allocate more resources to exploring the "Vison" that inspires truly innovative architecture. I'm documenting these developments and building a community of practice around these techniques. If you're conducting similar research or implementing these approaches in your work, I'd value connecting to share insights and expand our collective understanding. #AIinArchitecture #ArchitecturalResearch #DesignComputation #OpenSourceAEC #Grasshopper #ComputationalDesign #GenerativeDesign #GrasshopperAI #LLMsinDesign #TextTo3D #ArchViz #DigitalTransformation #ArchitecturalInnovation #AIResearch #DesignTechnology #ParametricDesign #AECTech #AIPrototyping #ArchitecturalVisualization #DesignWorkflow #FutureOfArchitecture #RhinoGrasshopper #AECInnovation #DesignAutomation #AITooling

Today, I sat down and connected Figma and Cursor, and with just a few prompts, it generated a near-perfect coded prototype. The feeling I had wasn’t, “Oh no, what about our jobs?” It was more like: Designers using tools like this can dramatically accelerate how quickly we turn ideas into real customer value. The traditional barriers—needing to formalize requirements, or relying on a UI engineer to build the concept—are starting to fall away. Now, we can bridge that gap ourselves and go end-to-end through the product development lifecycle. In that moment, I realized—nothing will be the same. And most designers have no idea how powerful they can become if we truly master the tools breaking down these long-standing walls. Curious how others are using tools like these—what have you tried? What happens when we stop waiting and start shipping? #ProductDesign #AIDesignTools #DesignInnovation #GoBuildSomething #VibeCoding

𝐀𝐈 𝐏𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐢𝐧𝐠: 𝐓𝐡𝐞 𝐆𝐚𝐦𝐞-𝐂𝐡𝐚𝐧𝐠𝐞𝐫 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐯𝐞𝐬 𝐃𝐢𝐝𝐧’𝐭 𝐒𝐞𝐞 𝐂𝐨𝐦𝐢𝐧𝐠 This past week, I led a two-day session on AI prototyping at University of California, Berkeley. One insight stood out: you don’t need coding skills to develop a working prototype of an app. Many executives walked in thinking prototyping required a dedicated employee with specialized skills. But when they saw #AI coding agents update a prototype in real time right before their eyes the MINDSET SHIFT was immediate. We role-played a typical product development process: - An executive provided feedback -The AI made changes instantly -The prototype actually worked, no bugs, no delays The reaction? A mix of excitement and hesitation. The excitement? AI can help leaders test more ideas in less time, whether improving core business processes or exploring new opportunities. The hesitation? “This is a great tool… but is my organization ready to use it?” The challenge here isn’t learning the technology. It’s building an organization that can adapt one that’s nimble enough to respond to rapid change before management even has time to review and approve it. So, where do you start? -Play with the tools. Build something simple, even a to-do list. -Focus on iterations: test, refine, and test again. -Think beyond AI as a technology, see it as a strategy for innovation. How is your company thinking about AI-driven prototyping?  What barriers do you see? Drop a comment below! 🔔 Follow Jeff Eyet 🔑✨ for more insights. ♻️ Found this valuable? Repost and tag a colleague who should see this. #AIPrototyping #Innovation #BIGInsights #AIForExecutives #TheBerkeleyInnovationGroup