Google AI PM Director drops an AI PM Masterclass + Tutorial on Google's AI Tools
Product Growth Podcast
Golden Eval Sets and Core User Prompts
Jaclyn describes using early examples as validation sets and how they inform long-term product vision and evaluation.
I had a precious hour of a Google AI PM Director’s time. So, I extracted all the best insights about AI PM for you:
How to use Google’s latest AI tools like an insider
How to build great AI products
How to become an AI PM
And I didn’t hold back on the tough questions. And Jaclyn Konzelmann dropped an absolute masterclass.
You don’t want to miss her advice on AI PM resumes...
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Check out the conversation on Apple, Spotify and YouTube.
Brought to you by:
Vanta. Pendo. Linear Generic. Jira Product Discovery.
* Vanta: Leading AI security & compliance platform
* Pendo:
* Linear: Plan and build products like the best.
* Jira Product Discovery: Plan with purpose, ship with confidence
* LandPMJob: Land a PM Job with Aakash Gupta
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Key Takeaways
1. Nano Banana 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.
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Where to Find Jaclyn Konzelmann
* Substack
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Related Content
Podcasts:
* How to Become, and Succeed as, an AI PM | The Marily Nika Episode
* If you only have 2 hrs, this is how to become an AI PM
* Complete Course: AI Product Management
Newsletters:
* How to Become an AI Product Manager with No Experience
* How to Write a Killer AI Product Manager Resume
* How to become an AI Product Manager
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