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:
Mentioned in this episode:
