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Aakash GuptaAakash Gupta

I got a private Masterclass in AI PM from Google AI PM Director

Jaclyn Konzelmann, Director of AI Product at Google, reveals how to master Imagen, Veo, and Opal. She demonstrates live workflows from photo restoration to drone show videos, explains the 3 frameworks every AI PM needs, and shares exactly what Google looks for when hiring AI PMs. Full Writeup: https://www.news.aakashg.com/p/jaclyn-konzelmann-podcast Transcript: https://www.aakashg.com/how-to-master-google-ai-tools-complete-masterclass-with-jaclyn-konzelmann/ ---- Timestamps: 0:00:00 - Intro 0:01:38 - Meet Jacqueline Kunzelman, Google AI Product Director 0:03:03 - How AI Changed Product Building 0:06:10 - Demo 1: Colorizing Old Photos with Imagen 0:16:09 - Ads 0:17:54 - Demo 2: Pet to Drone Show to Video 0:20:17 - Demo 3: Building AI Apps with Opal 0:28:41 - Building in Public: 10 Side Projects Strategy 0:30:41 - Ads 0:33:04 - Framework 1: Anatomy of an Agent 0:34:15 - Framework 2: User Interaction Spectrum 0:36:35 - Framework 3: The Inverted Triangle 0:39:51 - The Paradigm Shift Question 0:51:50 - The 6 Characteristics Google Looks For 0:57:47 - Resume Tips & Interview Process 1:01:33 - 18-Month Roadmap to AI PM 1:03:38 - Outro ---- 🏆 Thanks to our sponsors: 1. Vanta: Leading AI security & compliance platform - http://vanta.com/aakash 2. Pendo: #1 Software Experience Management Platform - http://www.pendo.com/aakash 3. Linear: Plan and build products like the best. - https://linear.app/partners/aakash 4. Jira Product Discovery: Plan with purpose, ship with confidence - https://www.atlassian.com/software/jira/product-discovery 5. LandPMJob: Land a PM Job with Aakash Gupta - https://www.landpmjob.com/ ---- Key takeaways: 1. Imagen Understands World Models: Ask it to show Toronto in winter → adds snow. San Francisco in winter → no snow. The model knows SF doesn't get snow. This world knowledge unlocks creative workflows beyond basic image generation. 2. The Colorization Workflow: Use Gemini Pro to refine prompts → Focus on vibrant colors, lighting transformation, hyperrealistic detail, modern camera optics → Add negative prompts for failed iterations. "Keep playing around with things until you get it just right." 3. Chain Tools for Advanced Workflows: Photo → Imagen (reimagine as drone show) → Veo (animate the drones flying) → Result: Your pet as a living drone show with tail wagging. Access through AI Studio, Gemini app, or Mixboard. 4. Build AI Apps Without Code Using Opal: Describe what you want in natural language → Opal writes the prompt chains → Customize models and outputs → Share publicly. Examples: Resume critique tool, nature collage generator, custom storybook maker. 5. The Anatomy of an Agent Framework: Every AI agent has 3 components - Models (text/image/video capabilities), Tools (APIs, search, UI actions), Memory (what to remember, personalization strategy). Define these before writing code or PRDs. 6. The User Interaction Spectrum: Every AI product falls on "Do it FOR me" (Deep Research, Audio overviews that run and return) vs "Do it WITH me" (vibe coding, interactive experiences). 7. The Inverted Triangle: Think Big, Ship Fast: Think REALLY big → Use 3 levers to ship: Scope (ruthless MVP cuts), Positioning (beta/experiment labels), Audience (internal → trusted testers → public). Don't let process slow the vision. 8. Ask The Paradigm Shift Question: Are you building a faster horse or a car? Process-improving a workflow or creating an entirely new one? "The real value is the unlock on what's the new way things will get done." 9. The Future-Proofing Question: What happens when models get better? Real example: Mixboard threw out months of image editing work when Nano Banana launched with natural language editing. 10. Google's 6 Hiring Criteria for AI PMs: Exceptional product taste, visionary leadership (think 5 steps ahead), clarity in chaos, compelling product storytelling, full-spectrum execution (blended role profiles), deep AI intuition. Keep resume to 1 page, show actual work, design with personality. 11. The Side Project Strategy: Run 10 side projects simultaneously. Not to launch 10 products, but to think differently and connect dots. 12. Don't Get Precious About Ideas: Any single idea can get commoditized in weeks with AI. The skill isn't having one great idea—it's consistently generating good ideas. ---- 👨‍💻 Where to find Jaclyn Konzelmann: LinkedIn: https://www.linkedin.com/in/jaclynkonzelmann/ Twitter: https://x.com/jacalulu?lang=en Substack: https://blog.jaclynkonzelmann.com/ ---- 👨‍💻 Where to find Aakash: Twitter: twitter.com/aakashg0 LinkedIn: linkedin.com/in/aagupta/ Newsletter: news.aakashg.com #aitools #productmanagement ---- 🧠 About Product Growth: The world's largest podcast focused solely on product + growth, with over 187K listeners. 🔔 Subscribe and turn on notifications to get more videos like this.

Jaclyn KonzelmannguestAakash Guptahost
Oct 21, 20251h 4mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Google AI PM Director demos tools and shares AI PM playbook

  1. AI has changed product building both by accelerating how teams prototype/ship and by expanding what products can do, while also making the landscape feel fast-moving and overwhelming.
  2. Konzelmann demos practical, high-leverage workflows with Google tools—Nano Banana for image editing, Veo for turning images into videos, and Mixboard/Opal for multimodal creation and prompt-chaining mini-apps.
  3. She argues AI PM is a real role and emphasizes “thinking big” and first-principles product work so teams don’t build features that models will soon commoditize.
  4. Three frameworks guide AI product decisions: an agent’s anatomy (models, tools, memory), a user-interaction spectrum (do-it-for-me vs do-it-with-me), and an inverted triangle to ship MVPs while preserving a large vision.
  5. Hiring and career advice centers on product taste, systems thinking, clarity in chaos, storytelling, execution ownership, and AI intuition—backed by tangible public side projects and crisp, link-rich resumes.

IDEAS WORTH REMEMBERING

5 ideas

Treat discomfort as a signal of real 10x thinking, not a sign you’re wrong.

Konzelmann notes zero-to-one AI work is inherently messy and uncomfortable; separating “uncomfortable” from “wrong” helps teams push through ambiguity and innovate rather than retreat to safe iterations.

Prompting is an iterative product skill—use models to improve your prompts.

She repeatedly uses Gemini to critique and refine prompts (including negative prompts) when outputs miss the mark, turning prompt iteration into a systematic loop rather than guesswork.

Use the right surface for the job: chat, canvas, workflow, or agent.

Gemini/AI Studio are great for quick exploration, Mixboard supports open-ended visual ideation, Opal packages repeatable prompt chains into shareable mini-apps, and full agents add tool use and memory for autonomous task completion.

For scene consistency, generate a consistent ‘seed’ image first, then animate it.

She keeps a character consistent across images with Nano Banana, then uses those images as starting frames for Veo video generation—reducing drift across short vignettes.

Design agent experiences along the “do it for me” ↔ “do it with me” spectrum.

Deep research and batch generation fit autonomous modes with minimal interruption, while vibe coding and interactive audio require collaborative loops; picking the wrong mode breaks user expectations.

WORDS WORTH SAVING

5 quotes

It does really feel like there's never been a more exciting time to build than right now.

— Jaclyn Konzelmann

True 10X thinking is actually supposed to feel uncomfortable… I kept confusing uncomfortable with wrong.

— Jaclyn Konzelmann

Learning how to prompt these models is a skill that takes time but is incredibly worth it.

— Jaclyn Konzelmann

Are you just building a faster horse or are you building something net new, like a car?

— Jaclyn Konzelmann

If the first thing you do is jump straight into execution mode, that would worry me.

— Jaclyn Konzelmann

How AI changes product building and shipping speedNano Banana prompting and iterative prompt refinementMixboard as a multimodal canvas vs chat UXVeo image-to-video workflows and consistency strategiesOpal for chaining prompts into shareable mini AI appsAgent frameworks: models, tool use (APIs/MCP/UI actions), memoryHiring signals, resume design, Google interview flow, 18‑month AI PM roadmap

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