Leave your feedback Share Copy URL https://gographicsoutput.com/video/BZNVFAuCKod.html Email Facebook Twitter LinkedIn Pinterest Tumblr Share on Facebook Share on Twitter A Day Inside a Y Combinator AI Startup [BaJmQ488Bi5] Health Updated on August 05, 2026 EDT — Published on August 05, 2026 EDT Everyone’s talking about AI agents, some are building them, but very few are actually deploying them at scale. In this episode, I went behind the scenes with the husband-and-wife founders of 14 AI, a Y Combinator-backed startup building full-stack autonomous customer support. Based in San Francisco, 14 AI is tackling one of the most high-pressure parts of any business, customer support.. with a combination of large language models, agent infrastructure, and obsessive attention to reliability. What they’re building doesn’t just replace help desks, it redefines how humans and AI collaborate. A couple of key points we talk about: - Why customer support is the ideal use case for AI agents - The trade-offs in designing for full autonomy vs human-in-the-loop - How their team works together, lives together, and ships fast - What most people miss when trying to productise AI - Why “perfection” is the wrong goal when deploying agents This is a look at what it really takes to go from demo to production, and why trust, reliability, and real-world data matter more than hype. Check out 14ai: Join my founder newsletter: Let’s connect: X: Instagram: LinkedIn: 5ruqCPAd1zy 9AGCxHizy7j AuCyOaQlsNY KQIXQGm3QZp LpNRPdyL6W6 83MpZKqDqv0 lpIDaU5v6gV
Everyone’s talking about AI agents, some are building them, but very few are actually deploying them at scale. In this episode, I went behind the scenes with the husband-and-wife founders of 14 AI, a Y Combinator-backed startup building full-stack autonomous customer support. Based in San Francisco, 14 AI is tackling one of the most high-pressure parts of any business, customer support.. with a combination of large language models, agent infrastructure, and obsessive attention to reliability. What they’re building doesn’t just replace help desks, it redefines how humans and AI collaborate. A couple of key points we talk about: - Why customer support is the ideal use case for AI agents - The trade-offs in designing for full autonomy vs human-in-the-loop - How their team works together, lives together, and ships fast - What most people miss when trying to productise AI - Why “perfection” is the wrong goal when deploying agents This is a look at what it really takes to go from demo to production, and why trust, reliability, and real-world data matter more than hype. Check out 14ai: Join my founder newsletter: Let’s connect: X: Instagram: LinkedIn: 5ruqCPAd1zy 9AGCxHizy7j AuCyOaQlsNY KQIXQGm3QZp LpNRPdyL6W6 83MpZKqDqv0 lpIDaU5v6gV