Every founder is looking for ways to save time and money.

And right now, AI promises both.

But here's the catch: while AI can write code, it can't think through your product's logic, security, or scalability. The result? A shiny prototype that collapses under real-world use.

In this episode of Tech for Non-Techies, Sophia Matveeva interviews Natalie Kaminski, CEO of JetRockets, with a knack for bridging the gap between non-tech founders and the digital world. With experience spanning multiple countries and roles she brings a hands-on approach to turning ideas into real, successful products.

At JetRockets, she leads a global team focused on building high-quality Ruby on Rails platforms that align perfectly with business goals.

Sophia and Natalie unpack the limits of AI in product development, why "AI-native" platforms often fail at the fundamentals, and what happens when shortcuts lead to security nightmares.

In this episode, you will hear:

• When to use AI for fast prototyping and when to bring in engineers
• The "toilet in the living room" test for spotting bad product architecture
• Why great developers are more valuable than ever in the AI era
• The red flags that signal a product quote is too cheap to trust

Free AI Mini-Workshop for Non-Technical Founders

Learn how to go from idea to a tested product using AI — in under 30 minutes. Get free access here: techfornontechies.co/aiclass

Resources from this Episode

Growth Through Innovation

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Our workshops and innovation strategies have helped Constellation Brands, the Royal Bank of Canada and Oxford University.

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Episode Credits

If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com Let them know we sent you.

For the full transcript, go to https://www.techfornontechies.co/blog/277-why-you-shouldn-t-use-ai-to-build-your-product