The Track
A Section Blog
How AI is shaping Section in 2025
Claude for Teams: What You Need to Know
Will Anthropic's new features in Claude for Teams – “Projects” and "Artifacts" – really make your team more collaborative and productive? We put them to the test.
How to Build a Business with AI
Getting a new business off the ground comes with a lot of moving pieces – and AI can automate a bunch of them. Here's how Ashley Gross built an online community with one person and $400 a month using AI.
How an AI expert built agents for Toyota and Universal Theme Parks
Brian Kolodny has designed chatbots for 37 Global 100 companies. Here's how he used them to create better customer experiences for Toyota and Universal Theme Parks.
How to build custom GPTs that can do your grunt work
AI-powered products are the future. But for those who don’t have the time or resources to build something in-house, custom GPTs are a good low-fi solution. Here's how to build one.
ChatGPT Canvas: OpenAI's Trojan Horse for Enterprise Domination
If you missed the launch of ChatGPT's Canvas feature, don’t be surprised – its launch didn't generate the usual hype. But Canvas offers an interesting glimpse into the future of OpenAI's strategic direction.
How I use AI to help my boss prepare for board meetings
We’re not shy about sharing our favorite AI use case: Leveraging it as a thought partner. But not all LLMs are created equally – so Section’s Chief of Staff to the COO, Ana, is sharing how they rank as thought partners for one of her most strategic use cases: Preparing the quarterly board deck.
Why shadow AI is probably happening in your company
We surveyed over 5,000 knowledge workers in the second half of 2024 on AI knowledge, skill, and usage. One of the most troubling takeaways: AI use is happening, whether your company sanctions it or not, and the implications are huge.
Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.
