Building AI products, not prototypes — Aiden Bai, Josh Payne, Linus Lee, and Matthew Rastovac. скачать в хорошем качестве

Building AI products, not prototypes — Aiden Bai, Josh Payne, Linus Lee, and Matthew Rastovac.

AI demos are easy. Shipping AI products that people actually trust, use, and maintain is hard. In this panel from Adaline Applied 2025, four builders operating at very different layers of the stack break down what it really takes to turn AI prototypes into durable products. 🎙️ Panelists Aiden Bai — Co-founder & CEO, Same Josh Payne — Founder & CEO, Coframe Linus Lee — Engineer, AI, Thrive Capital Matthew Rastovac — Director, AgentForce, Salesforce 🔍 What this panel covers: Why general-purpose agents break down in production How opinionated workflows outperform flexible abstractions Why user understanding matters as much as model accuracy The hidden maintenance cost of shipping AI features too early Why real data quickly exposes feasibility issues How to think about evals without freezing bad assumptions When to decompose tasks vs push for end-to-end autonomy Why some valuable problems are still genuinely hard This conversation is for founders, product leaders, and engineers building AI systems that need to survive first contact with real users — not just look impressive in demos.