Getting Started videos
The videos that follow cover the basic concepts and usage of Conversation Builder, allowing you to get started with building great bots in a few minutes! These topics are also covered in more depth in the Developer Center.
Learn how to get started with some very basic bots. This video explores the concept of dialogs (the different conversation flows a bot can have) and patterns, which allow the bot to match user input and respond intelligently!
In this video, we dive deeper into user input matching and look at the more advanced concepts of intents and entities. Intents allow you to use Natural Language Understanding (NLU) to enable your bot to more accurately match user input, while entities help with storing variable-like parameters for quick and easy data access!
This video covers more complex bot interactions, allowing you to present the user with multiple choice questions, messages with rich content, and more!
In this video, we explore integrations, which allow a bot to query external APIs, bringing powerful new options to conversations. Use integrations to programmatically access catalogs, databases, and other web services to superpower your bot responses!
In this video, we deploy a bot to a live demonstration page. We create a bot agent and skill, set up our web messaging engagement window, and connect our bot to our agent.
In this video, we demonstrate how to efficiently hand off to a human agent as needed. Despite everything that we can do for our users with automation, there are always going to be tasks that are best handled by a human on the other end of a messaging interaction.
When working with natural language from our users, it is sometimes necessary to dive further into their statement to understand what their true intent is. In addition, humans tend to communicate in ways that might include multiple intents in the same statement. In both of these cases, you can use disambiguation to clarify your user's intent and ensure that their needs are being addressed appropriately. Watch to learn more.
A knowledge base is a great tool to answer questions about a variety of topics specific to your bot's area of expertise. In this video, you learn how the KnowledgeAI application in the Conversational AI platform lets you create and manage knowledge bases and articles, which are then processed by an NLU engine. This allows the bot to leverage intents and entities to recommend the most accurate articles to an inquiring consumer.
A meta intent is a wrapper for a grouping of related intents. Using meta intents, we can funnel a variety of intents into a single dialog for processing. Watch this video to learn more.
A Conversational Design best practice is to ensure that every automation includes a way to automatically escalate when a consumer gets stuck. Conversation Builder provides a special dialog type that takes care of all of this for you without having to write any code. Watch this video to learn more.
Learn about the Conversation Builder condition editor which provides you with a code-free way of looking at multiple factors in determining what information to display to users.
Learn about the design pattern developed by LivePerson that deviates from the standard single bot approach and breaks up your automation’s functionality between several bots in a bot group.
Check out our Developer Center for more in-depth documentation. Please share your documentation feedback with us using the feedback button. We'd be happy to hear from you.