The Track
A Section Blog
Is Deep Research worth $200 a month?
Agents are here: OpenAI's chaos vs. Microsoft's control
If you’re tired of hype without action when it comes to AI agents, you’re not alone. Here's our Lead AI Consultant, Chase's, no-BS take on what the big players’ agents are actually capable of.
Staying silent on AI is almost as bad as banning it
The piece of data from our latest AI Proficiency Report that we can’t stop thinking about: Silence on AI breeds more AI skepticism than an outright AI ban. So if you’ve been gathering your thoughts on AI, now is the time to put them in writing.
What AI means for the entry level job and your next career move
What does AI’s automation of entry level tasks mean for college grads, interns, and anyone looking to switch industries? We sat down with labor economist Sania Khan to talk about the rebuilding of the career ladder with AI.
How to use AI for SEO content without sacrificing quality
Can AI generate SEO content that ranks? We put it to the test in 2024 and the answer is 'yes, but....'
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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.
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.
AI is good enough, the humans need help
Newsflash if you’re waiting for AI to get better before you invest: It’s already pretty good, it’s the people using it that need to get a lot better – and fast. Greg is taking over this week’s newsletter to show you why.
