The Track
A Section Blog
Most leaders are thinking about AI all wrong
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 an agency is preparing for AI clients
AI has put a big question mark over the future of agencies. So we talked to David Freas, Managing Partner at Supermoon, about how he’s transforming his brand agency with AI agent teammates – and for AI agent clients.
AI can think now. What does that mean for you?
The next stage of LLMs is here: AI that “thinks,” or breaks down problems step-by-step like a human would. Here’s how we got here, and what it means for how you use AI.
Want to be a better investor? Adopt these three mindsets
Think like an artist, an analyst, and a skeptic to make better decisions.
Every leader should have an operating manual. Here are 5 steps to build yours.
The things you do might be intuitive to you – but if they confuse your team, you're in trouble. Here's how to build an operating manual to make your decisions clear to everyone.
Most leaders are thinking about AI all wrong
2026 is 60 short days away, so here’s the wake up call you need: you’re still thinking about AI through the lens of software, and the survival of your company depends on you shifting that mindset.
Squishy vs. hard ROI: Why leaders need both
One of the hardest parts of AI ROI is figuring out how to report qualitative wins to execs who want quantitative reports. At our AI:ROI Conference, Michael Domanic shared the framework for approaching these two disparate kinds of ROI.
