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Aakash GuptaAakash Gupta

Google AI PM Reveals the Tools 99% of Product Managers Don’t Use

Marily Nika has built more AI products at Google than almost anyone. She walks through her complete 6-tool stack - from AI Studio prototyping to Notebook LM learning. Here's everything you need to master AI tools as a product manager. ---- Timestamps 0:00 - Intro 1:52 - Why These 6 Tools Matter 6:41 - Google AI Studio for Prototyping 11:05 - Ads 12:53 - AI Prototyping Deep Dive 19:37 - Opal vs AI Studio 27:03 - Notebook LM for Domain Expertise 31:50 - Ads 34:39 - Notebook LM in Action 37:23 - Perplexity for Reddit Research 40:00 - ChatGPT PRD Generator 55:16 - The 18-Month AIPM Roadmap 59:30 - AIPM Interview Red Flags 1:02:10 - The Future of Product Management 1:05:34 - Outro ---- 🏆 Thanks to our sponsors: 1. Jira Product Discovery: Move discovery and roadmapping out of spreadsheets - https://www.atlassian.com/software/jira/product-discovery 2. Vanta: Automate compliance across 35+ frameworks - http://vanta.com/aakash 3. Maven: Maven: Get 15% off Marily’s AI PM Bootcamp with code AAKASHxMAVEN - https://bit.ly/40MEiVY 4. Mobbin: Discover real-world design inspiration - http://mobbin.com/aakash 5. Product Faculty: Get $500 off the AI PM Certification with code AAKASH25 -https://maven.com/product-faculty/ai-product-management-certification?promoCode=AAKASH550C7 ---- Summary: https://www.news.aakashg.com/p/marily-nika-podcast Key Takeaways 1. Marily's stack is just 6 tools - Google AI Studio for prototyping, Opal for mini apps, Notebook LM for learning, Perplexity for user research, ChatGPT for PRDs, and Fireflies for meetings. Each maps to one PM workflow. No tool hopping. 2. Prototype before writing PRDs. Marily builds a working app in AI Studio first, then brings engineers in to debate the actual thing. Saves weeks of back-and-forth on documents. PRDs are now for complex cross-functional work only. 3. Notebook LM learned a 4-hour video in 15 minutes. Marily had an interview the next day. She uploaded the job description and a 4-hour investor relations video. It gave her 15 key points. She memorized them and crushed the interview. 4. Perplexity's Reddit filter is your secret weapon. Turn off web search, turn on discussions and opinions. Ask "would young professionals be interested in a fitness ring?" Get 20+ Reddit sources instantly. Know what users actually want. 5. Marily's PRD generator has 10,000+ users. She trained a ChatGPT custom GPT with her voice and old PRDs. It asks probing questions before generating. Gets PRDs done in days instead of weeks. She's not embarrassed to use AI at work. 6. Tool selection has 4 rules. Does it save 10x time (not 2x)? Does it work across contexts? Does it work with your company's limitations? Does it compound over time? If not all 4, delete it. 7. "Be like a crab" for AIPM roles. Move adjacent to your experience. Hearing aids → AirPods PM. ESPN journalism → Meta sports AI PM. Don't ignore your past experience. It's your competitive advantage. 8. Red flag in AIPM interviews - missing PM craft. Ex-ML scientists dive into algorithms without asking why, who, and how to measure success. AI changes HOW you fulfill use cases, not the use cases themselves. 9. Who replaces PMs? Not AI. PMs who use AI when you're not. Don't be embarrassed about using AI at work. It's not cheating. The gap is widening between PMs who use these tools and those who don't. 10. Every PM will become an AIPM by 2026. Show Marily any product and she'll find the AI use case. Even retail stores use cameras and AI to monitor which areas get traffic. The AIPM title will just become PM. ---- 👨‍💻 Where to find Marily Nika: 1. LinkedIn - https://www.linkedin.com/in/marilynika 2. Twitter - https://twitter.com/marilynikaref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor 3. Website - https://www.marilynika.me/ 4. YouTube - https://www.youtube.com/channel/UCwBzlZnlkGeqKqa3Pd0YSCA?themeRefresh=1 5. Newsletter - https://marily.substack.com/ 6. Maven - Her course is part of my special curation with Maven - https://maven.com/marily-nika/ai-pm-bootcamp?utm_campaign=aakash-gupta&utm_medium=affiliate&utm_source=maven&promoCode=AAKASHxMAVEN 👨‍💻 Where to find Aakash: Twitter: https://www.x.com/aakashg0 LinkedIn: https://www.linkedin.com/in/aagupta/ Newsletter: https://www.news.aakashg.com #AIPM #googleai --- About Product Growth The world's largest podcast focused solely on product + growth, with over 205K listeners. Hosted by Aakash Gupta, who spent 16 years in PM, rising to VP of product, this 2x/week show covers product and growth topics in depth. Subscribe and turn on notifications to get more videos like this.

Marily NikaguestAakash Guptahost
Jan 11, 20261h 6mWatch on YouTube ↗

CHAPTERS

  1. AI prototyping as a PM superpower + what “AIPM tool hopping” looks like

    Aakash introduces Marily Nika (Google AI PM) and frames the episode around the underrated AI tools that dramatically speed up PM work. Marily outlines her everyday stack and the concept of “tool hopping” to move from idea → artifact → prototype → research faster than traditional workflows.

  2. Why these 6 tools matter: mapping tools to the PM lifecycle

    Marily explains the specific PM jobs each tool helps with—prototyping, mini-app workflows, domain learning, user voice research, writing artifacts, and meeting capture. The focus is on picking a small set of high-leverage tools rather than an overwhelming tool zoo.

  3. Google AI Studio walkthrough: turning a plain-English idea into an app prototype

    Marily demos AI Studio’s prototyping interface and highlights features PMs should use: model choice (Pro vs Flash), file upload, speech-to-text, and the inspiration gallery. The point is to get from concept to something visual and discussable in minutes.

  4. Hands-on prototype: NanoBanana-powered collage generator for LinkedIn content

    They build a prototype concept: upload a user photo + bucket-list goals → generate a collage suitable for LinkedIn. The demo emphasizes how quickly PMs can validate an interaction flow and output style without engineering help.

  5. AI prototyping deep dive: when prototypes replace early docs (and when PRDs still matter)

    Marily explains how her workflow has shifted from ‘idea → PRD → alignment’ to ‘idea → prototype → bring engineering/science in.’ She also notes that documentation still matters for complex, cross-functional, async-heavy initiatives.

  6. Design-system matching in AI Studio: making prototypes look like your product

    Aakash raises a common PM problem: getting AI prototypes to follow an existing design system. Marily shares a simple approach—upload a screenshot and instruct the tool to mirror the visual language—highlighting how much better this has gotten recently.

  7. Opal mini-apps: building an automated workflow from one sentence

    Marily introduces Opal (Google Labs) and recreates the same collage use case. Opal generates a multi-step workflow (Zap-like) and an app experience, turning a short instruction into an expanded prompt and runnable mini-app.

  8. Opal vs AI Studio: strengths, limitations, and best-fit PM use cases

    They compare the tools: AI Studio for more direct prototyping feel and iteration; Opal for quick workflows and templated mini-apps. Marily recommends caution making Opal a core workflow since it’s experimental and can be inconsistent.

  9. NotebookLM for domain expertise: grounded research + reusable ‘personalized assistant’

    Marily explains NotebookLM as a research assistant grounded only in provided sources (PDFs, videos, Drive, notes). She uses it to judge bootcamp demo-day pitches by ingesting audio clips and generating an audio overview that selects winners by criteria.

  10. NotebookLM in action: interview prep, summarization at scale, and UXR synthesis

    Marily shares additional high-impact PM uses: learning a new domain quickly, summarizing long investor relations videos for interviews, and distilling insights from massive UXR libraries. The emphasis is on extracting what matters and ignoring irrelevant content.

  11. Perplexity for Reddit research: capturing the ‘voice of the people’ for MVP decisions

    Marily shows how she uses Perplexity’s discussions/opinions filter to search Reddit rather than the whole web. She uses it to validate demand and turn real user opinions into a prioritized MVP feature list.

  12. ChatGPT (and custom GPTs) as an artifact engine: PRD generator + PRFAQ practice

    Marily demonstrates a custom PRD generator trained on her voice and preferred structure. They discuss when AI-written artifacts help vs create ‘slop,’ and she explains PRFAQ as a press-release-first method to clarify the end state and work backward.

  13. Common AI mistakes + meeting capture: normalize AI use and automate recall

    Marily’s biggest caution is cultural, not technical: don’t hide that you used AI. She then explains her note-taking setup (Fireflies + Gemini) and why cross-platform meeting coverage matters for busy PMs.

  14. 18-month AIPM roadmap + interview red flags + the future of PM

    Marily outlines how to move into AI PM via adjacent moves (‘be a crab’), becoming AI-literate, and understanding coding fundamentals without necessarily coding. She shares interview red flags (solution-first, weak PM craft, confusing PM vs program) and argues PM judgment and strategy remain essential even as AI becomes ubiquitous.

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