The Track
A Section Blog
Is Deep Research worth $200 a month?
Meet the professor: Google’s Ted Souder from Building an AI-First Organization
Ted Souder is back to teach our Building an AI-First Organization workshop. Get to know him a little better (and why we keep bringing him back for more).
What is Prompting for AI? The Beginner's Guide to AI Prompt Writing
What is prompting? In this beginner's guide to instructing AI models like ChatGPT through written prompts, you'll earn the basics of prompting for natural AI conversations.
GPT-4o: What’s cool, what’s hype, and what happens next
Our in-house AI expert talks all things GPT-4o and what it means for the future — ours and AI's.
Try these 3 things before giving up on AI
In this interview, Jeremy Utley exposes the confirmation biases that cause us to bounce off AI – and how you can get a result that will make it stick.
AI agents are cool, but not for the reasons you’ve heard
You’ve seen articles and flashy demos and tons of promises about the imminent future of agents. But how much of that is actually possible and how much is hype? Lutra AI co-founder and CEO, Jiquan Ngiam sat down with us to suss it out.
AI hallucinations aren’t a big deal
It’s hard not to hear that AI hallucinates and not have a few alarm bells go off. But ‘hallucinations’ is a loaded word. Machine & Partners’ Edmundo Ortega is back to explain why they’re nothing to worry about.
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.
