Deployed: The AI Product Podcast

• Building Production Voice AI That Actually Works: Lessons from Daily & Pipecat Co-Founder, Kwindla Hultman-Kramer

  On this episode of Deployed we talk with Kwindla Hultman-Kramer, co-founder of Daily (daily.co) and creator of Pipecat (pipecat.ai), the most widely used open source framework for voice agent orchestration.Kwin shares insights from building voice AI infrastructure since before it was cool, including why he thinks we've hit an inflection point now where voice agents are quickly moving from demos to real production deployments with real ROI. He breaks down the technical stack that actually works in production in July 2025, explains why most audio-specific evals are still "vibes" (and why that's okay if you get your text evals right!), and shares tactical advice that could save months of trial and error — like why you should use WebRTC instead of WebSockets, and why speech-to-speech models aren't quite ready for production yet.Whether you're curious about voice AI or already building voice agents, this conversation offers practical guidance from someone who's seen hundreds of teams navigate the journey from prototype to production scale.If you want to go deeper on this content, check out Kwin's Voice AI & Voice Agents book (https://voiceaiandvoiceagents.com/) and his popular Maven course (https://maven.com/pipecat/voice-ai-and-voice-agents-a-technical-deep-dive).

  --------  

  47:56

  --------

  47:56
• How Zed Built An Incredible Agentic Code Editor: A Conversation with Nathan Sobo

  On this episode we talk with Nathan Sobo, co-founder and CEO of Zed, the high-performance code editor that's reimagining how AI agents can improve developer workflows. Nathan shares lessons from building one of the most natural agentic coding experiences available, including why investing up front to automate the feedback loop to improve the quality of AI systems is worth it. He also shares some great product design insights that go beyond the code editor -- including how they were able to weave an AI agent into the UX of their already-collaborative product (just like a human collaborator), and how their "subtle mode" for code completion has helped win over AI-skeptical developers. Whether you're building coding tools or another AI product, this conversation is a fun listen for anyone who cares about crafting great products and incorporating AI in smart ways.

  --------  

  46:01

  --------

  46:01
• Insights from the Cutting Edge of AI Investing: A Conversation with Sarah Guo, Founder of Conviction

  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.

  --------  

  37:34

  --------

  37:34
• The Secrets To Being A Great AI PM: Evals, Quality & More | Apollo.io AI Product Lead, Tyler Phillips

  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. 

  --------  

  42:52

  --------

  42:52
• Building Box's AI Platform: Enterprise Lessons in Scaling LLMs | Ben Kus, CTO of Box

  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.

  --------  

  44:15

  --------

  44:15

More Technology podcasts

Trending Technology podcasts

About Deployed: The AI Product Podcast