The Track
A Section Blog

Leaking our own AI manifesto

Leaking our own AI manifesto
We’ve been all in on AI for a while – but this week we made it official. In this week’s newsletter, Greg is sharing his newest thinking on AI, and why we changed our domain to sectionai.com.

Warmly CEO: “Do 30% more with AI, or you’re underperforming”
We’ve seen a lot of bold announcements and leaked AI manifestos recently painting a future of clear, AI-first leadership. We sat down with Warmly’s CEO, Max Greenwald, to talk about his own AI mandate: 30% growth from every employee by the end of the year.

AI agents are cool, but not for the reasons you’ve heard
You’ve seen articles and flashy demos and tons of promises about the imminent future of agents. But how much of that is actually possible and how much is hype? Lutra AI co-founder and CEO, Jiquan Ngiam sat down with us to suss it out.

How we built a generative AI bot
By summer 2023, we were convinced we needed to use AI to improve our student experience. From August to October, we designed, built, and prototyped an AI course tutor called ProfAI. In today's post, we'll walk you through how we did it.

Our hot take on Google Gemini
On Wednesday, Google announced its long (long, long)-awaited AI product, Gemini. We dug in to understand whether Gemini lives up to the hype, what it signals for OpenAI and Microsoft, and what you can use it for right now.

How the Royal Family’s AI-powered mental health agent overcame privacy concerns
Most orgs feel unready for the challenges that Gen AI brings to risk management. Yet many AI applications will have to navigate the line between user value and user privacy. So we sat down with specialist, Brian Kolodny, to understand how he traversed matters of privacy when building a mental health bot for the Royal Family’s foundation.

Our Guide to Building Enterprise AI Applications
Every company needs to be thinking about where AI slots into their product or service, but all the noise and hype makes it hard to determine what a valuable vs. novel use case looks like. Machine & Partners’ Ed Ortega is sharing 2 frameworks to narrow down your laundry list of AI ideas.