Hands-On Chatbots and Conversational UI Development Build chatbots and voice user interfaces with Chatfuel Dialogflow Microsoft Bot Framework Twil

• Understand the different use cases of Conversational UIs with this project-based guide
• Build feature-rich Chatbots and deploy them on multiple platforms
• Get real-world examples of voice-enabled UIs for personal and home assistance

This book is for developers who are interested in creating interactive conversational UIs/Chatbots. A basic understanding of JavaScript and web APIs is required.

• Design the flow of conversation between the user and the chatbot
• Create Task model chatbots for implementing tasks such as ordering food
• Get new toolkits and services in the chatbot ecosystem
• Integrate third-party information APIs to build interesting chatbots
• Find out how to deploy chatbots on messaging platforms
• Build a chatbot using MS Bot Framework
• See how to tweet, listen to tweets, and respond using a chatbot on Twitter
• Publish chatbots on Google Assistant and Amazon Alexa

Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots are one of the flavors of Conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Basically, conversational UIs boil down to two types: one that provides services and the other for entertainment purposes. This book covers both types of Conversational UIs by leveraging APIs from multiple platforms. We'll take a project-based approach to understand how these UIs are built and the best use cases for deploying them.

We'll start by building a simple messaging bot from the Facebook Messenger API to understand the basics of bot building. Then we move on to create a Task model that can perform complex tasks such as ordering and planning events with the newly google acquired Dialogflow and Microsoft Bot framework.

We then turn to voice-enabled UIs that are capable of searching for tasks that were not defined in their model, performing more complex real-time interactions with Amazon Alexa and Google Home.

By the end of the book, you will have created your own line of chatbots and Voice UIs for multiple leading platforms.