Overview
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Learn to build AI agents from scratch using OpenAI's Agent Builder in this comprehensive 24-minute tutorial that covers everything from basic setup to advanced implementation techniques. Start with the fundamentals of getting started with the platform, then progress through creating an AI news agent and implementing RAG (Retrieval-Augmented Generation) capabilities. Master multi-step workflows and discover how to implement essential guardrails to ensure your agents operate safely and effectively. Explore advanced features including if-else classifiers for decision-making logic, structured outputs using CEL (Common Expression Language), and user approval systems for critical operations. Conclude by integrating MCP (Model Context Protocol) agents with Context7 for enhanced contextual understanding and more sophisticated agent behaviors.
Syllabus
00:00 - introduction
01:08 - getting started
03:50 - ai news agent
05:55 - RAG agent
09:27 - multi-step workflows
12:08 - guardrails
14:06 - if else classifiers
15:02 - structured outputs and cel
18:14 - user approvals
20:07 - MCP agents with context7
Taught by
Chris Hay