The Track

A Section Blog

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January 27, 2022

Your step-by-step guide to a winning product strategy

Former Netflix VP of Product Gibson Biddle explains how to build a product that delights, makes money, and beats the competition.

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Greg Shove
Section Staff
4 mins
For students
Product
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November 6, 2023

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.

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Greg Shove
Taylor Malmsheimer, Head of Strategy
5 mins
For students
Brand strategy
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March 21, 2025

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.

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Greg Shove
Section Staff
6 mins
For students
AI
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March 14, 2025

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.

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Greg Shove
Ana Silva
6 mins
For students
AI
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October 29, 2024

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.

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Greg Shove
Section Staff
4 mins
For companies
AI
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October 25, 2024

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.

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Greg Shove
Section Staff
5 mins
For companies
AI

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