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Aakash GuptaGemini Gems Masterclass with the Creator at Google: 3 Gems You Must Build
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At a glance
WHAT IT’S REALLY ABOUT
Build Gemini Gems, ship AI agents, and future-proof PM careers
- Gemini Gems are customizable Gemini instances that retain instructions and uploaded context so users stop re-prompting and can get consistently tailored outputs.
- Lisa Huang recommends three must-have PM Gems—a writing clone, product strategy advisor, and user research synthesizer—mapped to core PM responsibilities of communication, strategy, and insight generation.
- Effective Gems require detailed instructions, the right contextual “knowledge” files, specialization by job-to-be-done, and ongoing iteration like a mini product.
- In high-stakes domains like finance, successful AI agents require hybrid systems (LLMs plus programmatic controls), strong domain workflows, robust evals, and human/LLM-judge quality loops.
- PM careers won’t be replaced by AI, but team structures and expectations will change toward “PMs as builders,” making AI tool fluency, prototyping, and technical depth increasingly mandatory.
IDEAS WORTH REMEMBERING
5 ideasTreat a Gem like a reusable context container, not a one-off prompt.
Gems exist because LLMs lack persistent context; by storing instructions and curated documents, you reduce repetitive prompting and get more reliable, “you-shaped” outputs over time.
Every PM should start with three Gems tied to core PM work.
A writing clone speeds stakeholder communication, a product strategy advisor supports decision-making with company/market context, and a user research synthesizer turns raw feedback into actionable insights.
High-performing Gems are built with specificity, examples, and scoped jobs.
Vague prompts (“help me write better”) underperform; detailed instructions plus relevant artifacts (PRDs, emails, research transcripts) and specialized Gems per task produce better consistency.
Iteration is not optional—quality comes from a feedback loop.
Lisa frames Gems as mini products: test outputs, refine instructions, update knowledge files as reality changes, and keep tightening until the Gem reliably matches your intent.
Gems differ from custom GPT positioning: prioritize productivity over monetization.
Google saw instructions as easily copyable and focused less on an “app store” model, instead optimizing for personal/team amplification and sharing within shared-context environments.
WORDS WORTH SAVING
5 quotesGemini Gems are custom versions of Gemini that you can create for your specific use case.
— Lisa Huang
If you aren't using Gemini Gems, you aren't getting the most out of Gemini.
— Lisa Huang
Let’s call them the writing clone, the product strategy advisor, and the user research synthesizer.
— Lisa Huang
Accuracy is not a nice-to-have, it’s a core part of our differentiation.
— Lisa Huang
I pay them for their product judgment.
— Lisa Huang
SPEAKERS
Aakash Gupta
hostHost of the Aakash Gupta channel/podcast who interviews product and AI leaders.
Lisa Huang
guestCreator of Gemini Gems and AI product leader with experience at Apple, Meta, Google, and SVP at Xero.
High quality AI-generated summary created from speaker-labeled transcript.
