In this episode of the AI Agents Podcast, we explore the evolution of personalized AI through an in-depth look at Google’s Gemini 2.0.

From integrating your search history to offering custom recommendations, host Demetri Panici puts Gemini’s much-hyped personalization features to the test.

Learn how Gemini uses your activity data to tailor suggestions for everything from workspaces to food spots—and discover both its surprising strengths and frustrating limitations.

Tune in as we uncover whether Gemini 2.0 lives up to its promise of seamless, context-aware AI experiences.

If you've ever wondered how well today's AI understands your preferences or if it's worth the monthly subscription, this episode delivers firsthand insights, practical examples, and an honest review of where personalized AI still falls short.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

⏰ TIMESTAMPS:

0:00 - Introduction To Personalized AI

1:15 - Gemini Advanced Features And Pricing

3:02 - Real-Time Coffee Shop Recommendations

4:46 - Testing Memory And Personalization

7:00 - Challenges With Gemini’s Recall

10:15 - Expanding Preferences Beyond Coffee

11:30 - Planning A Personalized AI Date Itinerary

13:10 - Troubleshooting And Context Confusion

14:05 - Final Thoughts On Gemini Flash

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The Evolution of Personalized AI with Gemini 2.0 | EP34

AI Agents Podcast