AI-First Organization
No More Slop: Building Trust in an AI-First Organization
About this session
AI has made it easier than ever to ship software, content, designs, and customer experiences at unprecedented speed, but it can amplify poor judgment just as easily as good judgment. The result is a problem everyone is suddenly talking about: “AI slop” — work that technically functions but erodes trust with customers, creates rework for teams, and quietly lowers the standard across an organization.
This session isn't about which AI tools to use. It's about the systems, processes, and organizational habits that separate thoughtful AI adoption from simply producing more output. Host Austen Allred sits down with special guest Dex Horthy to explore how teams can move faster with AI while protecting the quality, craftsmanship, and trust that customers expect.
In this session
- What "AI slop" really is, and why people instinctively recognize low-quality AI work across products, websites, and content, even when they can't explain why
- How AI reshapes trust between a company and its customers, and where speed has to give way to human judgment
- The review processes, standards, and cultural norms that keep the quality bar high as AI scales across an organization
About the host
Austen Allred is the founder and CEO of Gauntlet AI, a program that takes the top few percent of engineering applicants, runs them through ten weeks of building real systems with AI, and places every graduate into a $200K–$950K role, funded entirely by hiring partners, so participants pay nothing. He has spent over a decade attacking the problem of measuring and developing talent that markets struggle to interview for. He previously founded and scaled a technical education company that trained more than 10,000 engineers and raised over $100M from GV, Y Combinator, and Stripe. His views on AI, hiring, and the future of work reach 470K+ followers and have appeared in HBR, The Economist, WIRED, and The New York Times.