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Generative AI

Just Now Possible with Teresa Torres - Lessons from 9 AI product teams: Stack Overflow, eSpark, Nurture Boss, Arize, Neople, Zencity, Trainline, Incident.io, and Xelix

Lessons from 9 AI Product Teams: Emerging Themes from Just Now Possible

Audio Version ($) Stack Overflow built four versions of their AI-powered search, then killed it. Arize's team started building when "agent frameworks" didn't even exist. eSpark's former teachers are now writing eval code in Python. Over the past few months, I've

How to Use Claude Code Safely: A Non-Technical Guide to Managing Risk

How to Use Claude Code Safely: A Non-Technical Guide to Managing Risk

Audio Version ($) I love that Claude Code allows me to build out my own personal operating system. I now have personal workflows for managing my to-do list, keeping up on academic research related to my work, hosting two podcasts, writing long-form weekly articles, designing courses, and much more. I used

Stop Repeating Yourself: Give Claude Code a Memory

Stop Repeating Yourself: Give Claude Code a Memory

Audio Version ($) "Can you critique the landing page for my new Story-Based Customer Interviews course?" I used to waste hours trying to get ChatGPT or Claude to adequately critique my work. I'd get frustrated by the generic feedback, the poor writing, and the suggestions that just

Claude Code: What It Is, How It's Different, and Why Non-Technical People Should Use It

Audio Version ($) Why is everyone talking about Claude Code? I'm seeing it pop up everywhere—in my LinkedIn feed, on product podcasts, and in my Slack communities. And it's not just developers talking about it. It's product managers, writers, researchers, consultants, you name it.

AI Changes Everything (And Nothing At All)

AI Changes Everything (And Nothing At All)

Audio Version ($) Every product team is wrestling with the rapid change brought on by generative AI. It's impacting our roadmaps and how we do our jobs. But not everything is changing. Many of the fundamentals stay exactly the same. Last week, I delivered this talk as part of

A comparison chart outlining the pros, cons, and best uses of three interview synthesis approaches: Human-Only, Outsourcing to AI, and AI as Collaborator.

Customer Interview Analysis: Where AI Helps and Hurts

Audio Version ($) It's easy to get overwhelmed by continuous customer interviews. When you conduct a customer interview every week, the data starts to pile up. You collect hours of transcripts. If you aren't disciplined to synthesize each interview as you go, you can quickly fall behind.

List of 21 ways to use AI at work, including tasks like translation, customer service, SEO analysis, copy editing, coding support, and error handling.

21 Ways to Use AI at Work (And Build Your AI Product Toolbox)

Audio Version ($) I recently shared 15 ways I'm using AI at home—from fixing cooking disasters to researching school bonds. Each use case helped me build new AI skills: learning to chat with a large language model (LLM), providing the right context, verifying results, and much more. Now