We Built a Real AI Product in 1 Hour (From Scratch!) using #lovable

00:00 – Introduction & Recap of Previous Episode 00:33 – Why This Episode is Different: Practical AI Implementation 01:06 – Guest Intro & Using ChatGPT to Build Products 01:50 – 4 Steps of AI Product Development 02:47 – Why Start with ChatGPT Before Prototyping 03:52 – Building a Chatbot for AI Product Management 05:14 – How AI Chatbots Create Real Value 06:43 – The Importance of Defining Requirements Before Prototyping 08:50 – Writing PRDs & System Design for AI Tools 10:23 – Double Prompting: A Better Way to Engineer Prompts 12:07 – Best Resources for Learning Prompt Engineering 13:42 – Why Prompt Engineering is Still Alive 14:11 – How to Prompt AI Coding Tools like Lovable 16:16 – Using Knowledge Tabs for Better Prototypes 17:47 – Project Knowledge vs Prompt Injection 21:00 – Why AI Coding Tools Lose Context Over Time 23:08 – Building an MVP vs Adding Extra Features 24:14 – Connecting Databases & Superbase Integration 26:25 – Publishing and Testing the AI Product 28:04 – Using Free APIs like Groq for Prototypes 30:22 – Differentiating Your AI Product from ChatGPT 33:04 – Superbase Setup & Debugging Errors 36:14 – Common Issues with AI Coding Tools 38:11 – Top Challenges in AI Coding & How to Fix Them 41:38 – Best AI Tools for Product Managers (Claude, Vercel V0, Clerk) 43:45 – Why Specifications Are the Real Bottleneck in AI Development 45:50 – Testing the Final AI Product (Live Demo) 49:52 – What’s Next for AI Product Management Tools 50:56 – The Future of Portfolios in Product Management 51:58 – Closing Thoughts & Final Takeaways