Sep 24, 2026

How to build products on a moving frontier | Dan Shipper (Every)

Dan Shipper, co-founder and CEO of Every, advocates for a dedicated 'labs team' to navigate the rapid evolution of AI capabilities. He argues that traditional product development struggles with the 'moving frontier,' proposing a model where a small, experimental lab explores new AI ideas and capabilities, while the main product team focuses on scaling existing offerings. Shipper outlines how to establish and run such a lab, from team composition ('pirates' and 'architects') to rigorous experimentation, dogfooding, and a structured pipeline for integrating successful innovations into the core product, enabling continuous disruption and growth.

Aug 19, 2026

How to build an AI-Native Health Company — Dan Feng, Maven Clinic

Dan Feng outlines Maven Clinic's transformation into an AI-native company, driven by the realization that "building is cheap and arguing is expensive" in the AI era. This shift has reshaped planning to short, iterative sprints, revolutionized software development with AI coding tools, forced adaptive changes in code review processes, and necessitated a nuanced, multi-layered approach to ensuring reliability in generative AI systems.

Dec 19, 2025

Paying Engineers like Salespeople – Arman Hezarkhani, Tenex

Arman Hezarkhani, CTO of Tenex, challenges traditional time-based compensation models for software engineers. He argues that in the age of AI, incentives must be directly tied to value shipped, not hours worked. This talk details Tenex's outcome-based system where engineers are paid per story point, exploring the mechanics, cultural shifts, and risk mitigations that drive a high-velocity, high-trust engineering team.