Let’s say you have identified a use case in your organization that you would like to handle via a chatbot. You familiarized yourself with Amazon Lex, built a prototype, and did a few trial interactions with the bot. You liked the overall experience and now want to deploy the bot in your production environment, but aren’t sure about best practices for Amazon Lex. In this post, we review the best practices for developing and deploying Amazon Lex bots, enabling you to streamline the end-to-end bot lifecycle and optimize your operations.
We have covered the planning, design, and configuration phases in previous blog posts. We suggest reviewing these posts to help you build engaging conversations with your bot before you proceed. After you’ve initially configured the bot, you should test it internally and iterate on the bot definition. You’re now ready to deploy it in your production environment (such as a

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