This chapter has covered a lot. We started by designing a complex chatbot flow with multiple sub-flows. We then built these flows into a set of intents, which allow a user to go through the full process, or to do part of the process and return later. This meant we need to trigger intents directly from other intents, pre-populating some of the slots and using confirmation intents to change from one intent to another. We've also learned how to use DynamoDB tables to store and retrieve data about the progress of the users.
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You're reading from Hands-On Chatbot Development with Alexa Skills and Amazon Lex
Sam Williams qualified with an aerospace engineering master's degree, then became a self-taught software developer while holding down his first job. While traveling, he started to write articles about the tech he was learning about and accrued an audience of readers on Medium and freeCodeCamp.Currently, Sam works as a lead chatbot developer for the SmartAgent team at MissionLabs, building custom systems for large retailers. His role ensures that he is working with the newest chatbot technologies and is constantly pushing their capabilities.
Read more about Sam Williams
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Sam Williams qualified with an aerospace engineering master's degree, then became a self-taught software developer while holding down his first job. While traveling, he started to write articles about the tech he was learning about and accrued an audience of readers on Medium and freeCodeCamp.Currently, Sam works as a lead chatbot developer for the SmartAgent team at MissionLabs, building custom systems for large retailers. His role ensures that he is working with the newest chatbot technologies and is constantly pushing their capabilities.
Read more about Sam Williams