The Track
A Section Blog
Is Deep Research worth $200 a month?
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.
The hidden reasons you’re not using AI every day
We’ve been taught all our lives to value original ideas and hard work, but using AI challenges these principles. But you have to get over this thinking, because your CEO already has.
Meet your professor: Emerging tech and AI consultant, Elizabeth Shaw
Elizabeth Shaw has worked in emerging tech for nearly 25 years at companies including Gartner, Sephora, and Forrester. Now, she’s your new guest lecturer in Section’s AI Crash Course.
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.
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.
