On this episode we talk with Sarah Guo, founder of Conviction — a VC firm focused on early-stage AI investments.

Sarah shares insights from her unique position at the intersection of AI research, startups, and enterprise adoption that are relevant to people building with AI.

Topics like: How successful teams keep up with rapid changes in the AI landscape, how AI labs vs. enterprises approach problems differently, thoughts on why many AI initiatives struggle to move from prototype to production. She also shares some good advice for leaders on setting an ambitious roadmap and staying competitive in the current market.

This conversation provides practical perspective on what's working with leading AI teams, and hopefully some advice others can learn from.

On this episode we talk with Tyler Phillips, AI Product Lead at Apollo.io, about what it really takes to build successful AI products in sales. Tyler shares surprisingly candid insights about the "unsexy" but critical work that great AI PMs do - from spending hours evaluating AI outputs to building systematic quality frameworks. Learn why it can help for domain experts should write prompts instead of engineers, how Apollo measures AI quality across their products, and the practical strategies they've developed after some early missteps. Whether you're an aspiring AI PM or an engineering leader trying to structure your team effectively, this conversation offers useful lessons on what actually drives AI product success.

On this episode of Deployed: The AI Product Podcast, we sit down with Ben Kus, CTO of Box, to unpack how they built a secure, scalable AI platform within their enterprise content management system. Ben shares candid insights from Box's journey integrating AI capabilities while maintaining enterprise-grade security for sensitive customer data. Learn practical strategies for evaluating AI quality without accessing customer data, building internal platforms that engineering teams want to use, and designing architecture that can evolve with rapid AI advances. Whether you're integrating LLMs into an established product or building new AI features, this conversation offers valuable lessons on balancing innovation with enterprise requirements. Join Ian, Co-Founder and CEO of Freeplay, for this in-depth discussion on scaling AI responsibly in the enterprise.