AI Prototyping

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: ProductTalk.org

• Follow Petra Wille: Petra-Wille.com

Mentioned in this episode:

• Large language model (LLM) (en.wikipedia.org/wiki/Large_language_model)

• ChatGPT (chatgpt.com)

• Claude (Anthropic API) (anthropic.com/api)

• Teresa’s Continuous Interviewing Course (learn.producttalk.org/continuous-interviewing) (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 (petra-wille.com/blog/the-pmwheel-a-compass-for…)

• Vibe coding (en.wikipedia.org/wiki/Vibe_coding)

• Teresa’s Assumption Testing Course (learn.producttalk.org/assumption-testing)

• Jeff Patton (jpattonassociates.com/about-jeff-patton-associ…)’s producttalk.org/wp-content/uploads/2025/06/Jef… of the three people having different pictures in their head about one thing

• Replit (replit.com)

• V0.dev (v0.dev)

• Bolt (bolt.new)

• Lovable (lovable.dev)

• WindSurf (windsurf.com/editor)