The Track
A Section Blog

7 hard-won lessons from deploying AI at scale

ChatGPT o1: What’s cool, what’s hype, and what happens next
OpenAI just changed the LLM game with the release of ChatGPT o1. Here's what it means when it says it's "thinking", how to prompt it, and what this all means for the future.

Where’s the AI ROI?
AI is not like software. So how can you measure whether it's worth the investment or not?

The most AI Proficient industries in 2024
A rundown of the industries that are leading the AI charge – and what sets them apart – and which are lagging behind.

Claude for Teams: What You Need to Know
Will Anthropic's new features in Claude for Teams – “Projects” and "Artifacts" – really make your team more collaborative and productive? We put them to the test.

Free trial vs. freemium: Which product-led growth tactic is right for you?
Have you ever set up a free trial to test drive a product before you bought it? We bet you have (and you might have even forgotten to cancel it after the week was up – oops).
In our workshop Driving Product-Led Growth, industry guru Wes Bush teaches you to use “try before you buy” tactics – like free trials, freemium, and demo modes – to capture customers long before they swipe their credit card.
Here, with Wes’ help, we share an easy-to-use framework for picking the tactic that’s right for your business.

How I use Product Strategy frameworks to win client business
How do you make your product stand out in a sea of competitors? Product Strategy alum Justin Lee shares his approach.

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.