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"AI is about to make one horizontal product feel built for every single vertical." Jean-Denis Greze 💡 (co-founder and CEO of Town, ex-CTO of Plaid) on why isn't chasing a single vertical use case the way most SaaS companies have for the past fifteen years. "We're going to build... show more

luba yudasina

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13,521 次观看 • 18 天前 •via X (Twitter)

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Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon Aish and Kiriti Badam have built 50+ enterprise AI products across companies like OpenAI, Google, Amazon, and Databricks. Based on these experiences, they’ve developed a small set of best practices for building and scaling successful AI products. Our goal with this conversation is to save you and your team a lot of pain and suffering while building your AI products. We discuss: 🔸 Two key ways AI products differ from traditional software 🔸 Common patterns and anti-patterns when building successful AI products 🔸 Their framework for iteratively building AI products 🔸 Why evals aren’t a cure-all 🔸 Why obsessing about customer trust and reliability is an underrated driver of successful AI products 🔸 The skills that matter most for builders in the AI era Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — The fastest way to ship 220+ integrations: 🏆 Strella — The AI-powered customer research platform: 🏆 Brex — The banking solution for startups:

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Why haven't AI agents gone mainstream yet? We asked Jean-Denis Greze 💡, co-founder of Town, to break down what's missing. "OpenClaw is fantastic, but think about what it asks you to do. Get this open source software working on your machine. Connect MCPs to it. Write prompts or workflows. It can break all the time. A normal person is gonna do none of those things." "No one has packaged what a power user gets out of OpenClaw and made that available for everybody." "Before the iPhone there were other very powerful devices. They just didn't have the whole package, you went from single digit millions to billions of users once someone figured out how to make a consumer grade version." "Products today still ask you to be creative about what you wanna do with AI. People don't know what to put in that box, let's reverse the relationship. Let AI figure out what you're already doing and automate that."

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