EP 149 - AI Tools: Summary with Matt & Moshe

Impossibile aggiungere al carrello

Puoi avere soltanto 50 titoli nel carrello per il checkout.

Riprova più tardi

Rimozione dalla Lista desideri non riuscita.

Riprova più tardi

Non è stato possibile aggiungere il titolo alla Libreria

Per favore riprova

Non è stato possibile seguire il Podcast

Per favore riprova

Esecuzione del comando Non seguire più non riuscita

EP 149 - AI Tools: Summary with Matt & Moshe

Ascolta gratuitamente

Vedi i dettagli del titolo

A proposito di questo titolo

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 your own, and what that means for pricing, UX, and reliability
Enterprise realities: privacy, security, and why tools like Copilot/Gemini have such an advantage where data and IT policies matter
How conversations with our guests (Sani, Eva, Elena, Stav, Yaron, Marcos and Adir) shifted our thinking about workflows, orchestration, and agents
The future of agent-to-agent interactions: what happens when AIs negotiate purchases and workflows with minimal human prompts
Why first principles and business outcomes still matter more than any single AI tool
How the PM role is changing: less tool‑chasing, more orchestration, strategy, and clarity about what problem we’re actually solving
What topics we’d tackle next, like pricing, packaging, and credit models for AI products, and how this series is shaping our own careers
And much more!

You can connect with us and keep following what comes after this AI Tools series:

Product for Product Podcast:
http://linkedin.com/company/product-for-product-podcast
Matt Green:
https://www.linkedin.com/in/mattgreenproduct/
Moshe Mikanovsky:
http://www.linkedin.com/in/mikanovsky

Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.

Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

Ancora nessuna recensione