Amazon Lex is an AWS service for building conversational interfaces into any application using voice and text, enabling businesses to add sophisticated, natural language chatbots across different channels. Amazon Lex uses machine learning (ML) to understand natural language (normal conversational text and speech). In this post, we go through a set of best practices for using ML to create a bot that will delight your customers by accurately understanding them. This allows your bot to have more natural conversations that don’t require the user to follow a set of strict instructions. Designing and building an intelligent conversational interface is very different than building a traditional application or website, and this post will help you develop some of the new skills required.
Let’s look at some of the terminology we use frequently in this post:

Utterance – The phrase the user says to your live bot.
Sample utterance

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