The Track
A Section Blog
Is Deep Research worth $200 a month?
How we built a generative AI bot
By summer 2023, we were convinced we needed to use AI to improve our student experience. From August to October, we designed, built, and prototyped an AI course tutor called ProfAI. In today's post, we'll walk you through how we did it.
Our hot take on Google Gemini
On Wednesday, Google announced its long (long, long)-awaited AI product, Gemini. We dug in to understand whether Gemini lives up to the hype, what it signals for OpenAI and Microsoft, and what you can use it for right now.
The best AI chatbots in 2023
AI chatbots are not all built the same, and even the best ones aren’t best for every use case. That's why we put together a list of the best AI chatbots in 2023 - consider it your "holiday gift guide" for AI.
The biggest lessons from Tinder’s Matchmaker feature
We're diving into the product strategy behind Matchmaker, a new feature from Tinder that lets you share your potential matches with friends and family. Read on for our take on why this development is a product engagement win.
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 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.
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.
