ABOUT THIS EPISODE
What You’ll Learn:
- Why “free to build” doesn’t mean “no cost”
- How AI prototyping tools help with assumption testing
- Common pitfalls (and how to avoid them)
- Why engineering skills still matter in a no-code world
- The types of prototypes that are perfect for AI tools
- How these tools change team collaboration and speed
Key Takeaways:
- AI tools can help build usable prototypes in hours—not weeks.
- These tools are great for fast, interactive assumption tests.
- You still need engineering know-how to troubleshoot or guide LLMs effectively.
- Product teams benefit most when they build and test together.
- Even failed prototypes offer valuable learning.
Episode Quote: “Even if the cost to build goes to zero, if you keep building the wrong thing, you're still wasting your life.” – Teresa Torres
Resources & Links:
- Follow Teresa Torres: https://ProductTalk.org
- Follow Petra Wille: https://Petra-Wille.com
Mentioned in this episode:
- Large language model (LLM)
- ChatGPT
- Claude (Anthropic API)
- Teresa’s Continuous Interviewing Course (where she introduced a custom chat interface app, allowing students to interact with a ChatGPT-style tool powered by her own prompts and proprietary data)
- Petra’s The PMwheel – a Compass for the Product Manager Development Journey
- Vibe coding
- Teresa’s Assumption Testing Course
- Jeff Patton’s drawing of the three people having different pictures in their head about one thing
- Replit
- V0.dev
- Bolt
- Lovable
- WindSurf
English
United States
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Disclaimer: The podcast and artwork embedded on this page are from Petra Wille & Teresa Torres, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
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