{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Building AI Products That Users Actually Trust, Lessons from Angshuman Rudra","description":"January has a very particular energy. The holidays are behind us. The inbox is slowly filling up again. Calendars are waking up. And there\u2019s always this short window, just a few quiet days, where it feels like everything could still go in a different direction. I\u2019ve been thinking a lot during this pause. Over the last couple of years, AI and large language models have gone from experiments to expectations. What used to feel optional is now part of daily work, whether someone asked for it or not. And the biggest shift I\u2019ve personally noticed isn\u2019t technical. It\u2019s psychological. People aren\u2019t asking \u201cWhat can AI do?\u201d anymore. They\u2019re asking \u201cWhat should we actually build?\u201d, \u201cWhat do we trust?\u201d, and \u201cWhat\u2019s worth shipping versus waiting?\u201d That question shows up everywhere, especially in product teams. Because as exciting as LLMs are, shipping the wrong AI feature is worse than shipping none at all. And that\u2019s exactly why today\u2019s conversation matters. This episode is not about hype. It\u2019s about judgment, timing, and responsibility in product leadership. Chapters: 00:00 Introduction to Angshuman Rudra 01:06 The Impact of Large Language Models on Product Management 03:14 Balancing Innovation and User Needs 04:37 Navigating Generative AI in Product Development 06:46 Driving Adoption of New Features 09:34 Challenges and Lessons in Generative AI Products 11:15 Evolving Roles of Product Leaders with AI 12:39 The Future of Multi-Agent Systems 14:36 Translating User Requirements into Product Features 17:31 Finding the Next Big Feature 19:56 Adopting AI in Development Cycles 21:24 Tips for Job Seekers in Tech 23:10 Market Shifts in Marketing Technology 25:01 Exciting Use Cases in Marketing Technology 26:52 Concluding Thoughts and Future Outlook   Episode # 178 Today\u2019s Guest: Angshuman Rudra, AI Product Leader, building Martech platforms, AI Agents, and data workflows for 500+ agencies. Angshuman Rudra is a senior product executive at TapClicks, where he leads a portfolio of data, analytics, and AI products for a market-leading martech platform. Website: Angshuman Rudra What Listeners Will Learn: How to evaluate real user demand for AI features (not hype) When AI adds value and when it creates unnecessary complexity How product leaders should think about LLMs as tools, not magic Why many AI features fail after launch How to balance innovation with resource constraints What \u201cAI adoption\u201d actually looks like inside real companies Why multi-agent systems are promising but not ready to be fully autonomous How PMs can use AI for research, specs, and design without losing judgment What skills will matter most for product leaders over the next 3\u20135 years   Resources: Angshuman Rudra ","author_name":"OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips","author_url":"http:\/\/www.otechtalks.tv","html":"