The Track
A Section Blog

Leaking our own AI manifesto

Staying silent on AI is almost as bad as banning it
The piece of data from our latest AI Proficiency Report that we can’t stop thinking about: Silence on AI breeds more AI skepticism than an outright AI ban. So if you’ve been gathering your thoughts on AI, now is the time to put them in writing.

What AI means for the entry level job and your next career move
What does AI’s automation of entry level tasks mean for college grads, interns, and anyone looking to switch industries? We sat down with labor economist Sania Khan to talk about the rebuilding of the career ladder with AI.

How to use AI for SEO content without sacrificing quality
Can AI generate SEO content that ranks? We put it to the test in 2024 and the answer is 'yes, but....'

The 2024 AI advancements that changed everything
Our Lead AI Consultant, Chase Ballard is walking through the AI advancements that changed everything in 2024 – and what that means for you in 2025.

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.

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.