I learned AI designing more in this 1 hr than any course ever скачать в хорошем качестве

I learned AI designing more in this 1 hr than any course ever

Xinran Ma breaks down the complete AI design workflow. Mind map of AI design, live demos in Google AI Studio and Lovable, plus the exact tools top designers use. Full Writeup: https://www.news.aakashg.com/p/xinran... Transcript: https://www.aakashg.com/designing-ai-... --- Timestamps: 0:00 - Intro 3:54 - What Is Designing with AI? 8:02 - The AI Design Mind Map 12:29 - Ads 14:00 - Custom GPT to PRD Workflow 26:10 - Building Custom GPT Live Demo 30:02 - Ads 32:25 - Generating PRD for Prototyping 36:07 - Comparing Lovable vs V0 vs Bolt 41:23 - Stitch to AI Studio Workflow 43:31 - Google Stitch Live Demo 49:53 - YOLO Mode for Divergent Solutions 56:06 - Advanced Google AI Studio Tips 57:32 - How Cursor Stacks Up 59:37 - Final Takeaways 1:01:00 - Outro ---- 🏆 Thanks to our sponsors: 1. NayaOne: The fastest way to test AI and fintech solutions - https://nayaone.com/ 2. Pendo: The #1 software experience management platform - http://www.pendo.io/aakash 3. Maven: Get 15% off Xinran’s course with my link - https://bit.ly/3Y2FUZn 4. Bolt: Ship AI-powered products 10x faster - https://bolt.new/solutions/product-ma... 5. Gamma: Turn customer feedback into product decisions with AI - https://gamma.app/?utm_campaign=promp... --- Key Takeaways: 1. AI design covers five areas not just prompts - Prompting, ideation, design/prototyping, workflows, and staying conscious. Most people think better prompts equal better design. That's just 20% of the skill. 2. Use Google AI Studio for quick design variations - Upload 2-3 visual references. Describe what you want. Generate three different design directions in 5 minutes. What used to take 3-4 hours now takes 15 minutes. 3. Lovable builds functional prototypes in seconds - Describe the experience you want to build. Lovable generates a working prototype in 60 seconds. Not mockups—actual clickable experiences you can test with users. 4. Match tools to specific use cases - Custom GPT for effective prompts. Lovable for high-quality prototypes. Magic Patterns for design variations. Google AI Studio for free exploration. Cursor for full-stack experiences. Claude Code as all-purpose best. 5. Good design passes four layers not just visual - Visual representation, problem-solving, design principles, and implementation feasibility. Most people stop at layer one. Great design works at all four layers. 6. Context matters more than prompt length - Don't say "design a button." Say "design a primary CTA button for B2B SaaS onboarding where users connect calendar. Professional brand." Specificity drives quality. 7. Visual references anchor AI output - Upload 2-4 screenshots showing the aesthetic you want. These show AI what "modern and minimal" means to you. The quality difference is massive versus text-only prompts. 8. Iteration speed determines final quality - The magic isn't in the first output. It's in the 10th iteration after you've refined and tweaked. Review, identify issues, tell AI how to fix, repeat. 9. Always validate with real users - AI tools make generating designs easy. Only users tell you if those designs actually help. Show prototypes to 3-5 users. Watch them try to use it. 10. Workflows changed from linear to parallel - Before AI: sequential steps taking weeks. After AI: describe, generate, iterate freely. This is how top 1% designers work now. --- 👨‍💻 Where to find Xinran Ma: LinkedIn:   / davidmaxinran   Newsletter: https://www.designwithai.co/ 👨‍💻 Where to find Aakash: Twitter: https://www.x.com/aakashg0 LinkedIn:   / aagupta   Newsletter: https://www.news.aakashg.com #aidesign #productmanagement --- 🧠 About Product Growth: The world's largest podcast focused solely on product + growth, with over 200K+ listeners. 🔔 Subscribe and turn on notifications to get more videos like this.