EP 149 - AI Tools: Summary with Matt & Moshe

About this episode

Matt and Moshe reflect on their AI Tools series, discussing lessons learned and challenges faced in product management.

We’re wrapping up our AI Tools series with a special episode featuring just the two of us—Matt and Moshe—looking back at what we really learned (and where we’re still confused) about AI in product management. Across this conversation, we revisit the core themes that emerged with our guests and in our own experiments: from “vibe coding” and no‑code builders, to LLM assistants, enterprise privacy, agentic workflows, and the evolving role of the product manager. We share candid stories of using tools like Google Stitch, Figma/Figma Make, FlutterFlow, Base44, and others to design and prototype a real mobile app; what worked, what broke, and why credits, pricing, and model limits matter far more than the glossy demos suggest. Join Matt and Moshe as they explore: How our AI Tools series evolved, from “let’s review tools” to “AI is not one thing, it’s many different problem spaces” Why “vibe coding” is a misleading umbrella term, and how it means something different to devs, PMs, and designers Lessons from using AI for design and prototyping: inconsistent outputs, beta‑stage rough edges, and the pain of credit-based models Build vs. buy for AI: integrating foundation models vs. building…

People in this episode

Hosts: Matt Green, Moshe Mikanovsky

Topics covered

• AI tools in product management
• design and prototyping
• enterprise privacy
• vibe coding
• AI integration
• product manager roles

Keywords

• AI tools
• product management
• design
• prototyping
• enterprise privacy
• vibe coding
• foundation models

Mentioned in this episode

Products: Google Stitch, Figma, Figma Make, FlutterFlow, Base44

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