The Track
A Section Blog
7 hard-won lessons from deploying AI at scale
Joining the AI class should be your top priority
The workforce is dividing into two sides. Master AI now to make sure you're on the right side.
How to build a custom GPT
Follow these step-by-step instructions to build a custom GPT model that completes specific tasks for you.
How to set an AI policy for your company
In this post, we'll cover the four parts to a strong AI policy – your stance on AI, operating norms, rules/guidelines, and real-life use cases.
How to customize ChatGPT to your needs
Working with AI right now is like working with a brand new coworker. They don’t get your processes or your way of thinking. You have to give them a lot of context, and even when you do, the results aren’t exactly right. While many people give up, we promise it's worth it to train your AI tool to be your best possible copilot.
How to make your competitors look bad without even mentioning them
Laddering (as defined by Scott Galloway) means highlighting your strengths in a way that inherently points out your competitor’s weaknesses. We’ll explain how to use laddering to deposition your competitors, using Writer, one of our favorite AI case studies right now.
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.
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.
