The Track
A Section Blog
Is Deep Research worth $200 a month?
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.
How to prioritize AI projects
If your company is all-in on AI like Section, you might’ve spent the last few weeks coming up with exciting AI projects to tackle in the new year. After the fun brainstorming work comes the less glamorous step of figuring out what your organization actually has the time and budget to execute. We're sharing a simple risk-reward framework to prioritize your AI projects.
Quiz: How should your business be using AI?
You know your business should be using AI in some way. But does that mean using it to generate a few headline ideas, or introducing a whole new AI product? The answer depends on the state of your business.
Take our quiz to determine how to best use AI for your unique needs.
What you actually need to know about how AI works
Right now, AI chatbots seem like magic, and that’s dangerous. It makes it easy to overestimate their abilities. You don’t need to know every technical detail of how AI works – but you do need to know enough to understand its limitations.
Dive into what you really need to know about how AI works.
Mo Gawdat: AI can make us much happier, or much lonelier
Former CBO of Google X, Mo Gawdat, answers the question on everyone's mind: Will AI will make our lives better or worse? The answer is yes.
Gemini for Google Workspace: What You Need to Know
What is Gemini for Google Workspace, and is it worth investing in? Our in-house AI expert will tell you.
Passing the EU’s AI Literacy Requirements
Starting February 2025, The European Union's Artificial Intelligence Act (EU AI Act) mandated an "AI Literacy" requirement. Here's what that means for you.
Build, Buy, or Wait: The Leader’s Guide to AI Adoption
Edmundo Ortega spends all day rethinking a company’s core workflows with AI. So we asked him when companies should build custom AI solutions and when they should buy off-the-shelf. That’s when he introduced a third option – neither.
