Chatlayer glossary
This pages gives the definition of all the Chatlayer words, by alphabetical order.
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This pages gives the definition of all the Chatlayer words, by alphabetical order.
Last updated
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Action blocks are where 3rd-party, coding logic or special operations can be added to your bot.
The smallest building piece of a flow that you'll find in your canvas.
Use Collect input blocks to gather input from your users.
If you want to add rules to determine where a user is guided to, based on the value of a variable, you can do it with this block type.
A numerical value that indicates how certain the NLP model is that a user's message matches a specific intent. A higher score means greater confidence in the match.
A testing space where you can build and experiment with chatbot changes without affecting real users. Changes made here are not visible to end users until published.
The place where you can test your bot from the canvas.
A key piece of information extracted from a user's message, such as a date, location, or product name. Entities help the bot understand details that refine the user's intent.
A specific example of how a user might phrase a message. Expressions help train the NLP model to recognize different ways users express the same intent.
A structured sequence of bot messages and user interactions that guide a conversation towards a specific goal. Flows help design smooth and logical chatbot conversations.
On Chatlayer, a Go-to connection means that one block will happen in the conversation just after the other. Go-to connections can be established in multiple ways.
The goal or purpose behind a user's message. Intents help the bot understand what the user wants to achieve and trigger the right response.
The active version of the chatbot that real users interact with. Only tested and published changes from the draft environment appear here.
Any message a bot is sending to a user is what we call a bot message. This includes text messages, buttons, quick replies, etc.
A field of AI that helps computers understand, interpret, and respond to human language. In Chatlayer, NLP is used to process user messages and match them to the right intent.
The minimum confidence score required for the bot to match a user’s message to an intent. If the confidence score is below this threshold, the bot may trigger a fallback message or ask for clarification.
The session is an object that stores the state of the conversation. In it, we store some internal variables by default (like the botId, version, detected intents and entities,...) but you can also store your own variables for use in your bot's messages and actions.
The smallest building piece inside a block.
The actual data stored in a variable at a given moment, such as "Alice" for a {first_name} variable.
A placeholder used to store and reuse dynamic information (a value) in a conversation, such as a user's name or selected product.