The Track
A Section Blog
Is Deep Research worth $200 a month?
5 steps to pick a winning investment
Whether you’re the investor or the investee, the six-step Risk-Reward Framework can put you on the right path.
Can ChatGPT write a positioning strategy?
ChatGPT can do a lot of amazing things. So what happened when we put it into an MBA-level positioning course?
Want to build the next Airbnb? 4 steps to get started
Airbnb changed the way we travel without purchasing any hotels. Uber made it easier to get around without amassing their own fleet. And DoorDash took care of breakfast without cracking a single egg.
The common thread between these companies is that they’re platform businesses. Rather than selling products directly, they’re providing a platform that conveniently connects sellers and buyers.
How do you follow in their footsteps? Here are four steps that can help you build a platform of your own.
Why we rebranded (with a minimal amount of yogababble)
Let's skip the glossy merch shots and talk about the actual process of rebranding your company.
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.
