The Track
A Section Blog
Can you build a team of just AI tools?
There’s plenty of AI ROI - if you’re willing to work for it
A theme emerged in the chat of this year's AI:ROI Conference: 11 experts shared their value-adding AI strategies but people were just looking for magic formulas. Here were the biggest insights we think they overlooked.
Is AI good enough to lay off your engineers?
Are AI coding tools good enough to replace humans? Here’s the verdict from a founder who had to make that choice.
How to hire AI power users
If you want an AI-first team, you need to hire AI-first people. But, like critical thinking, this is not a skill you can suss out with scenario-based questions – you need to see it in action. Here’s how we do it at Section.
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.
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 the Royal Family’s AI-powered mental health agent overcame privacy concerns
Most orgs feel unready for the challenges that Gen AI brings to risk management. Yet many AI applications will have to navigate the line between user value and user privacy. So we sat down with specialist, Brian Kolodny, to understand how he traversed matters of privacy when building a mental health bot for the Royal Family’s foundation.
Our Guide to Building Enterprise AI Applications
Every company needs to be thinking about where AI slots into their product or service, but all the noise and hype makes it hard to determine what a valuable vs. novel use case looks like. Machine & Partners’ Ed Ortega is sharing 2 frameworks to narrow down your laundry list of AI ideas.
