How SERHANT shipped AI without a second chance - Ship 26 NYC
Real estate agents spend 80% of their time, four out of every five minutes, on admin. SERHANT built S.MPLE, agentic AI for real estate, to give that time back, and agents on the platform now average a 144% GCI increase in their first 12 months. Recorded live at Vercel Ship 2026 in New York City, Ryan Coyne, Chief Experience Officer at SERHANT, the world's most-followed real estate brand and the team behind Netflix's Owning Manhattan, shares how SERHANT shipped AI without a second chance: what happened when the wall between product and engineering came down, and both sides started building in the same place for the first time. From 12 people in September 2020 to 2,000+ today, over $1B in sales a month, and 80+ videos a day for 11M+ followers. This is product-market fit becoming product-market ship. CHAPTERS 0:00 Stuck on one side of the wall 2:48 A media company masquerading as a real estate company 3:52 S.MPLE: agentic AI with humans in the loop 6:41 Building on Vercel since 2019 7:23 From skeptic to "let's go faster" 8:57 The v0 unlock: 23 production apps from a non-engineer 12:36 Replacing fear with understanding 15:30 The data moat, guardrails, and 144% GCI 17:01 S.MPLE 2 and closing LINKS How SERHANT iterates on AI with Vercel → https://vercel.com/blog/serhants-playbook-for-rapid-ai-iteration Ship 2026 recap → https://vercel.com/blog/vercel-ship-2026-recap Start building → https://vercel.com SERHANT → https://serhant.com FOLLOW VERCEL X → https://x.com/vercel LinkedIn → https://www.linkedin.com/company/vercel GitHub → https://github.com/vercel #Vercel #VercelShip #AI #RealEstate #v0 #SERHANT