Join me as I chat with Amir about how to use OpenAI's new Agent Builder to create a multi-agent chatbot workflow that can classify user inquiries, provide customer support, and capture lead information. The video showcases how to build a complete solution using vector stores for context, logic nodes for decision-making, and ChatKit for website integration, all without requiring extensive coding knowledge.
Timestamps:
00:00 - Intro
00:57 - Overview of Agent Builder
02:13 - Overview of ChatKit
03:05 - Overview of Widgets
03:57 - Building a workflow with classifier and support/lead agents
13:57 - Demo of support/lead agents
16:29 - Integration with ChatKit to embed the chatbot on websites
19:23 - Differences between Agent Builder vs other alternatives
20:48 - Key Takeaways
25:25 -Opportunities for founders
Key Points:
• OpenAI released three major tools: Agent Builder (visual workflow creator), ChatKit (SDK for embedding chatbots), and Widgets (dynamic UI components)
• Agent Builder allows non-technical users to create multi-agent workflows with a drag-and-drop interface
• The demo shows how to build a chatbot that classifies users as leads or existing customers and responds accordingly
• ChatKit enables easy integration of these workflows into websites without developer dependency
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