The Track
A Section Blog
Is AI good enough to lay off your engineers?
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.
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.
We tested two Deep Research tools. One was unusable.
Two LLMs have released Deep Research features without much of a splash. So if you’ve been wondering about them (and don’t want to pay the $200/month price tag), read on for our Chief of Staff’s take on ChatGPT vs. Gemini.
How to know if NFTs are right for your business
Pop quiz. When you hear the word NFT, do you think:
💪 I know exactly what an NFT is and how to use it for my business
🤔 I think I understand what NFTs are, but I have no clue if they’re relevant to me
🤢 Argh! I should know what NFTs are, but thinking about them makes my head hurt
If you answered the latter two options, you’re not alone. Don’t worry – we sat down with NYU Stern Professor Sabrina Howell to simplify it for you.
Self-assessment: Does your team trust you?
I’m sure you’ve had a manager you didn’t trust.
Maybe that manager said she valued your time – but then canceled your 1:1 at the last minute because she just had to run out and get a smoothie.
Maybe he called you out in front of the team for a mistake he made. (Truly an unforgivable offense).
Whatever it was, you know that once trust is lost, it’s hard to get back...
AI’s progress may be holding your team back
On paper, the rapid release of new AI models and features looks like a win for knowledge workers. In reality, teams are drowning in AI overwhelm. Here’s how leaders can help them scale an ever-steeper learning curve.
How to drive AI adoption at scale
If you missed Olya Taran’s session at The AI Strategy Summit, you missed one of the most practical frameworks of the day on one of the biggest problems leaders still face: Getting widespread AI adoption. We’re laying it out for you.
