Building AI product sense, part 2

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Dr. Marily Nika, longtime AI PM at Google and Meta, shares a simple weekly ritual that rapidly builds AI product sense – the ability to translate probabilistic model behavior into products people can trust. In this episode, Marily walks through the framework for uncovering failure modes before users do.

Listen now: YouTube | Apple | Spotify

In this episode, you’ll learn:

Why Meta added “Product Sense with AI” to its PM interview loop

The rituals that surface hidden failure modes

Why generative models confidently invent structure when confronted with mess

What minimum viable quality (MVQ) means and how to define three critical thresholds

Five strategic context factors that raise or lower your quality bar

Why you need to estimate your AI feature’s cost envelope early

How to design guardrails that protect users from model shortcomings

Four patterns that cover most real-world failure cases

Referenced:

AI PM B…