The Track
A Section Blog
Ex-OpenAI exec: Leaders lack AI conviction
SMB leaders have an AI adoption problem
In public, they’re touting AI proficiency. In private, they’re not sure what generative AI even is.
How to use AI microapps without compromising security
AI can now code you a custom ready-to-deploy application in sub-10 minutes, just by prompting it. Machine & Partners’ Edmundo Ortega walked us through the huge opportunity of these microapps – and the huge risks.
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.
Ex-OpenAI exec: Leaders lack AI conviction
ICs get a lot of the blame for stalling or failing AI deployments. But former OpenAI executive, Zack Kass, says they could very well be the scapegoats for scrambling leadership.
What you really need to know about ChatGPT-5
ICYMI, OpenAI launched ChatGPT-5 . If your head is still spinning from the other 6 models they’ve released this year, here’s our guide on what’s different and what you actually need to pay attention to.
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.
