About this video

• Video Title: Gemini Gems Masterclass with the Creator at Google: 3 Gems You Must Build
• Channel: Aakash Gupta
• Speakers: Lisa Hang, Aakash Gupta
• Duration: 00:52:11

Overview

This video features Lisa Hang, the creator of Gemini Gems and former AI Product Manager at Apple, Meta, and Google, discussing how to leverage Gemini Gems for enhanced productivity. She highlights three essential Gems for Product Managers: a writing clone, a product strategy advisor, and a user resource synthesizer. The discussion also touches upon career lessons from major tech companies, building AI assistants for wearables, the development of Jax at Zero, measuring AI agent success, and the future of AI in product management.

Key takeaways

• Gemini Gems Explained: Gemini Gems are custom versions of Gemini tailored for specific use cases, designed to provide context and enhance the LLM's output by storing personalized information like writing style, company strategy, and product history.
• Essential Gems for PMs: Product Managers should create three key Gems: a "writing clone" to help with communication, a "product strategy advisor" for brainstorming and strategic thinking, and a "user resource synthesizer" to process user feedback and research data.
• Building a Gem: Creating a Gem involves providing clear instructions, uploading relevant knowledge (e.g., PRDs, emails, strategy documents), and iterating based on performance.
• Career Lessons: Lisa Hang emphasizes that career progression is driven by curiosity, learning, and identifying personal strengths and enjoyment in product management. She shares insights from her experiences at Apple (product supremacy, attention to detail), Meta (data-driven culture, execution speed), and Google (technical depth).
• Future of AI PMs: AI is expected to augment, not replace, Product Managers. PMs will need to adapt by using AI for execution tasks while focusing on critical product judgment, strategy, and unique insights. The role is evolving towards a hybrid builder-PM.

Lisa Hang advises aspiring AI Product Managers to actively use AI tools themselves, whether for their professional work or in their personal lives. She suggests trying out new horizontal LLMs and features as they are released, as these often represent the bleeding edge of AI capabilities. Additionally, she recommends using AI for various product management tasks like research, competitive analysis, user research, design prototyping, and even personal coding projects to gain hands-on experience. She also suggests subscribing to a few high-quality AI news sources to stay updated.