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“PMs who use AI will replace those who don’t”: Google’s AI product lead on the new PM toolkit

Marily Nika, AI Product Lead at Google and founder of the AI Product Academy, demonstrates how product managers can leverage AI tools to dramatically accelerate their workflow. Using a smart-fridge concept as an example, Marily walks us through the exact workflow she uses to build products faster: doing user research with Reddit debates, generating PRDs with custom GPTs, prototyping with v0, and even creating stakeholder-ready video mockups using VEO and Sora. She shows how “tool hopping” between specialized AI applications creates a powerful workflow that transforms traditional PM processes and enables more compelling product storytelling. *What you’ll learn:* 1. How to use Perplexity’s “discussions and opinions” filter to mine Reddit for user insights and create pro/con agent debates that reveal product-market fit requirements 2. A workflow for transforming market research into comprehensive PRDs using custom GPTs that maintain your personal voice and style 3. Techniques for turning PRDs into interactive prototypes using v0.dev that make your product vision tangible for stakeholders 4. How to create persuasive product videos using Flow and Sora that communicate your vision more effectively than traditional presentations 5. Why “tool hopping” between specialized AI applications creates a more powerful workflow than using a single tool 6. How to use NotebookLM as an interactive judge for product demos and pitch competitions *Brought to you by:* WorkOS—Make your app enterprise-ready today: https://workos.com?utm_source=lennys_howiai&utm_medium=podcast&utm_campaign=q22025 Miro—The AI Innovation Workspace where teams discover, plan, and ship breakthrough products: http://miro.com/ *Where to find Marily Nika:* LinkedIn: https://www.linkedin.com/in/marilynika/ Website: https://www.marilynika.me/ Substack: https://marily.substack.com/ AI Product Management Bootcamp & Certification by AI Product Academy: https://bit.ly/4p8tn2r *Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo *In this episode, we cover:* (00:00) Introduction to Marily Nika (02:54) Smart-fridge use case inspiration (06:15) Using Perplexity to mine Reddit for user research (11:19) Creating a comprehensive PRD with ChatGPT (13:40) Building an interactive prototype with v0 (16:20) Using prototypes as stakeholder influence tools in product reviews (21:30) Generating product videos with Flow and Sora (30:17) The complete 20-minute product workflow, from research to video (32:06) Using NotebookLM as an AI judge for product demo days (37:38) What to do when AI tools aren’t giving you what you want *Tools referenced:* • Perplexity: https://www.perplexity.ai/ • ChatGPT: https://chat.openai.com/ • v0: https://v0.dev/ • Flow (Google Labs): https://labs.google/flow/about • Sora: https://openai.com/sora • NotebookLM: https://notebooklm.google/ *Other references:* • AI Product Management Bootcamp: https://maven.com/lenny/ai-product-management • Lenny’s List on Maven: https://maven.com/lenny _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

Marily NikaguestClaire Vohost
Dec 1, 202540mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

An end-to-end AI workflow that upgrades modern product management practice

  1. Marily Nika walks through how she “tool-hops” across AI products to compress a traditional product cycle into ~15–20 minutes: mine user sentiment, synthesize requirements, generate a PRD, build a clickable prototype, and produce a promo video for stakeholder influence.
  2. She uses Perplexity’s Reddit/discussions search plus a pro/contra agent debate to surface adoption barriers and the minimum feature set needed to reach product-market fit for a smart-fridge concept.
  3. She then turns those features into a structured PRD via a custom ChatGPT PRD generator and feeds the PRD into v0 to create an interactive UI prototype tailored to the requirements (e.g., local-first privacy).
  4. Finally, she shows how video generation (Google Flow/Veo and OpenAI Sora) can communicate the product narrative, and how NotebookLM can act as a surprisingly effective multi-file “AI judge” for selecting winners at a demo day.

IDEAS WORTH REMEMBERING

5 ideas

Use opinion-rich sources to approximate rapid user research.

By searching Reddit discussions in Perplexity, Marily quickly surfaces real-world use cases, concerns, and adoption barriers—then drills into cited threads when needed for context.

Force critical thinking with pro/contra agents to counter LLM agreeability.

Having two agents debate (one for, one against) creates a structured adversarial review and ends with a “minimum convincing feature set” aimed at winning over skeptics.

Generate outputs in the format required by the next step.

Marily explicitly asks for “features” because that becomes the input to PRD generation and prototyping; chaining tools works best when each step produces the next step’s ideal artifact.

A strong PRD is leverage, not paperwork, when feeding builder tools.

She finds that spending extra time improving the PRD reduces downstream prototyping tweaks, making the overall cycle faster and less exhausting than “prompting directly.”

Clickable prototypes outperform decks for product reviews and alignment.

In fast-moving AI orgs where skepticism can be high, a hands-on prototype increases credibility and makes the vision tangible, improving stakeholder buy-in during product reviews.

WORDS WORTH SAVING

5 quotes

“Within minutes, I can literally see what the entirety of the world is thinking about.”

— Marily Nika

“Create two agents, one that is pro smart-fridge and one that is against smart-fridge… and give me the minimum set of features I would need in order to convince the against agent.”

— Marily Nika

“You did your market research in three minutes, and your PRD generation in 90 seconds.”

— Claire Vo

“If anything, PMs that use AI are the ones that are gonna take over the role of people who don't use AI.”

— Marily Nika

“The best thing you can do is just kill that instance and start over… use gen AI to help you write the best prompt.”

— Marily Nika

AI-enhanced PM vs. traditional PM workflowReddit mining for fast user research (Perplexity)Persona/agent debate to reduce LLM agreeablenessPRD generation with a custom ChatGPT templatePRD-to-prototype via v0 (and similar tools)Prototypes and video as stakeholder influenceNotebookLM as an AI judge for demo daysPrompt recovery when tools fail (reset + prompt with AI)

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