Authoring Conversations Overview
This section covers how to create dialogue using stories, responses and utterances within Clai.
Creating Dialogue
Clai’s conversation builder is an intuitive interface to author Rasa stories and populate NLU models on a single screen. Clai maintains stories and NLU data in their native format so you don’t have to edit them manually anymore.
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Intent recognition and entity extraction (NLU)
Learn how intent recognition and entity extraction work with Rasa’s NLU.
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Evaluate your NLU models
Evaluate your Rasa NLU models.
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Custom styles for chatbot responses
Learn how to use css custom styles.
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Handling conversation context with stories and slots
Implement contextual dialogues with slots and stories
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Create rich responses
Create and edit rich responses for your Rasa assistant, including buttons, quick replies, images and carousels
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Disambiguate user input
Disambiguate user input by providing options.
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Slot filling, forms, and business logic
Implement Rasa forms and slot filling flows without code
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Testing conversation flows
Add test sequences for conversational flows.
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Advanced topics
Useful features to optimize the edition and the training of Rasa stories.
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