Why AI Demos Work, But Production Systems Fail | Ep 33

In this episode, Ankit—former engineer, award-winning AI researcher, and DevRel leader at Rime— break down the harsh realities of scaling Agentic AI We cover why AI models excel inside constraints but struggle with enterprise edge cases, how developers should position themselves in the age of LLMs, and why transparently admitting your product’s weaknesses builds ultimate customer trust --- 🎯 KEY TOPICS COVERED: 00:00 - Introduction & Ankit's Career Journey 00:36 - From Full-Stack Developer to AI Researcher to DevRel 04:55 - How Budding Developers Can Thrive in the Agentic AI Era 05:55 - Will AI Ever Replace Human DevRel? 08:20 - Combating "AI Slop" & Creating Genuine High-Quality Content 09:28 - Behind the Scenes: Lessons from a Financial AI Hackathon 11:12 - The Gap Between AI Demos vs. Real Production Systems 15:13 - First 90 Days: How B2B AI Startups Can Scale Product-Market Fit 18:43 - Why B2B Founders Must Embrace Product Weaknesses to Build Trust