The Track
A Section Blog
How to use AI microapps without compromising security
Having morale issues? Try telling better stories
Unhappy workers have usually lost faith in their leadership's story. Here's how to tell a better one.
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What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.
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.
3 steps to uncover your real competitors (hint: they may not be who you think)
April Dunford is a product positioning expert who helps executives zero in on the real competitive alternatives to their product.
In this post, we’ll share some of her tips.
AI hallucinations aren’t a big deal
It’s hard not to hear that AI hallucinates and not have a few alarm bells go off. But ‘hallucinations’ is a loaded word. Machine & Partners’ Edmundo Ortega is back to explain why they’re nothing to worry about.
When to use a specialized AI tool vs. an LLM
If you’re hitting the limits of your LLM because you need more data or niche training, you’re likely doing a lot of high-end knowledge work – and that’s where specialized AI tools come into play.
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.
