The Track
A Section Blog

7 hard-won lessons from deploying AI at scale

Want to be a better investor? Adopt these three mindsets
Think like an artist, an analyst, and a skeptic to make better decisions.

How to find your brand's purpose
Developing a brand purpose is a fundamental step for any company. Justin Lee shares how he uses the Section frameworks to uncover why his business exists.

5 steps to solve the tough problem in front of you
The ability to solve tough problems isn’t an innate talent or a magic act – it’s a process. Learn a step-by-step framework to break down problems and solve them in a data-driven way.

4 data-driven tricks to win your customers’ hearts
For consistent sales, you need a long-term relationship. According to Google’s Neil Hoyne, It starts with a better conversation — and smarter questions.
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Why we’re opening up unlimited access to sprints
I was talking recently with a Section4 student, and I let him know that we would soon be giving members access to all our sprints for $995, about 1% the annual tuition of an MBA.
“That’s incredible,” he said. “I’m so excited – my mind is blown.”
Then he paused.
“Why are you doing that?”, which is a polite way of asking “What’s the catch?”
There isn’t one. And here’s the answer as to why.

Will your big idea work? 3 ways to manage risk
Building a new product is nerve-racking, especially if you’re taking a shot at something that’s never been tried before.
Will it end up being a YouTube or a Quibi? An iPod or a Zune? If it fails, will you ever be able to bounce back?
Luckily, you can build confidence by reducing risk. That’s where product experimentation comes in.

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.

Is Deep Research worth $200 a month?
With new AI tools coming out all the time, it’s hard to know which ones are worth investing in. So here’s our lead AI consultant’s framework for whether you should shell out for Deep Research or not.