How to Build AI Phone Agents That Actually Call Your Customers (11Labs + CBB Pipeline Tutorial)


Summary

This video delves into the intricacies of setting up CBB pipelines with AI phone agents for outbound call capabilities. Key topics include creating knowledge bases for agents, adding agents, configuring responses, connecting to external APIs, and system testing. The knowledge base creation involves linking resources for agents to handle customer queries effectively. The video also demonstrates setting up agent responses, conditions, actions based on interactions, and connecting agents to human support while integrating external APIs. Testing the system involves sending test messages, monitoring responses, and ensuring smooth interactions between AI phone agents and customers.


Setting up CBB Pipelines with AI Phone Agents

This chapter covers the process of setting up CBB pipelines with AI phone agents for outbound call capability. It includes creating a knowledge base for agents, adding agents and configuring their responses, connecting to external APIs, and testing the system.

Creating Knowledge Base for Agents

In this section, the process of creating a knowledge base for agents is explained. It involves copying and pasting links to build the knowledge base for agents to use in handling customer queries.

Adding Agents to Pipelines

The chapter demonstrates how to add agents to pipelines, create responses for different scenarios, and set up conditions and actions based on customer interactions. It also covers connecting agents to human support and integrating external APIs.

Testing the System

In this part, the process of testing the system is discussed. It includes sending test messages, monitoring responses, and ensuring the correct flow of interactions between the AI phone agents and customers.

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