🎙️This week on How I AI: 0-to-1 AI guide for absolute beginners + how this CEO turned 25,000 hours of sales calls into a self-learning GTM engine

Your weekly listens from How I AI, part of the Lenny’s Podcast Network

Hey friends 👋,

Here’s a weekly recap of new podcast episodes across Lenny’s Podcast Network:

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Every Monday, host Claire Vo shares a 30- to 45-minute episode with a new guest demoing a practical, impactful way they’ve learned to use AI in their work or life. No pontificating—just specific and actionable advice.

How this CEO turned 25,000 hours of sales calls into a self-learning go-to-market engine | Matt Britton (Suzy)

Brought to you by:
Brex—The intelligent finance platform built for founders
Zapier—The most connected AI orchestration platform

Guest: Matt Britton, founder and CEO at Suzy

Biggest takeaways:

1. “There’s always a way” should be your AI mantra. When Gong didn’t provide an easy way to access call transcripts, Matt could have given up. Instead, he hacked together a solution using Browse AI to scrape the data. “Just because the tool doesn’t do it, doesn’t mean it can’t be done,” he explains.

2. Customer calls are your best source of marketing keywords. By extracting the exact language customers use to describe their needs, Matt’s system automatically identifies keywords they should be bidding on in Google—ensuring that their marketing speaks the same language as their customers.

3. The future belongs to proactive problem-solvers. Matt is reshaping his team to favor “far more individual contributors, far more people who want to put their hands on keyboard.” As he explains, “I don’t need more people to tell what to do. I need people who are going to come up with new ideas and solutions and be proactive.”

▶️ Listen now on YouTube | Spotify | Apple Podcasts

A complete beginner’s guide to coding with AI: From PRD to generating your very first lines of code

Brought to you by: ChatPRD—An AI copilot for PMs and their teams

Biggest takeaways:

1. Cursor’s Composer One model is blazingly fast for simple projects. While you might need more-powerful models for complex applications, Claire demonstrates how Composer One can scaffold a basic Next.js application in seconds. For beginners, this speed means less waiting and more learning through rapid iteration.

2. The “editor view” vs. “agent view” choice matters for beginners. Cursor 2.0 offers two interfaces, and Claire recommends the agent view for beginners because it focuses on what you’re building rather than file structures. This approach shields newcomers from overwhelming technical details until they’re ready.

3. JavaScript is “easy to see,” while Python is “easy to read.” When choosing your first programming language for AI coding, Claire suggests JavaScript (particularly with Next.js) because you can immediately see your results in a browser, while Python might be more readable but requires more steps to visualize.

4. When AI tools give you too much, start over. Claire’s experience with V0 generating an overly complex application demonstrates an important lesson: If an AI tool is making things more complicated than you want, it’s often faster to start over with a different approach than to try fixing what you have.

▶️ Listen now on YouTube | Spotify | Apple Podcasts

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More shows coming soon. . . 👀
If you’re enjoying these episodes, reply and let me know what you’d love to learn more about: AI workflows, hiring, growth, product strategy, anything.

Catch you next week,
Lenny

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