The Track
A Section Blog
Can you build a team of just AI tools?
How to build a custom GPT
Follow these step-by-step instructions to build a custom GPT model that completes specific tasks for you.
How to set an AI policy for your company
In this post, we'll cover the four parts to a strong AI policy – your stance on AI, operating norms, rules/guidelines, and real-life use cases.
Where's the money going to be made in AI?
Not every AI investor will make their money back. In this post, we dig into the AI business models that will work, and those that will be the next Pets.com.
10 lessons from running a startup in 2023
This was a hard year for Section, but we’ve come out of it fitter and stronger. Here are 10 lessons that I’ve learned about running a startup – hoping they provide some inspiration to you.
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.
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.
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.
