Join us as we build a robust AI agent architecture capable of solving complex, real-world problems. This video demonstrates building an agent that intelligently selects restaurants for groups, considering diverse dietary needs and preferences. We cover the essential elements like managing conversational context, developing specialized tools for menu analysis and reservations, and implementing a verification agent to ensure optimal outcomes. Learn how these concepts translate into a microservices-like approach for AI development.
Chapters:
0:00 – Intro
0:20 – Defining the "Dinner Dilemma" Problem
0:53 – Initial Agent Design and Input Handling
2:38 – Designing the Reservations Agent
3:56 – Storing Information with the Context Component
4:26 – Evaluating Menus with an AI Tool
5:31 – Orchestrating Tools for Calendar Invites
7:35 – Conclusion: Happy Prompting!
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Speakers: Aja Hammerly, Jason Davenport
Products Mentioned: Gemini, Gemma
