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Smart Tagger provides a supper easy and powerful way to keep your user engagement organized - describe what you want and leave the rest to AI.
Smart taggers serve as tools to classify your messages. You can utilize smart tagger to filter out important messages and let Aissistant respond only to these queries. Additionally, tags can be employed to disregard certain messages, such as advertisements.
To create a tag, you can either modify a template to suit your requirements or input the necessary details directly into the tag creation interface.
When describing the scenario for the tag, please use clear and straightforward language. For instance, you might use descriptions like "user wants to make a return" or "user wants to cancel an order.”
You have the option to include extra context for each tag. For instance, if the tag is related to a user wanting to make a return, you could incorporate your return policy in this section.
Contextual instruction is employed to fine tune Aissistant's responses for a specific tag. For example, you can provide directives to prompt the request for an order number, the reason for a return, and so on.
This feature allows Aissistant to respond to the immediate message but prevents it from addressing subsequent messages. It's typically used to transition the conversation from Aissistant to the human team.
Aissistant will ignore the messages, it won’t respond or draft for the tag.
<aside> 🔔 “Respond only to tagged”, when enabled, Aissistant will only try to respond to incoming messages that have at least one of the tags. It applies to both “Auto-Reply” and “Auto-Draft”.
This mode is best suited noisy channels like shared corporate email.
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When Aissistant creates a tag, the tag will be added to the Agent Platform.
<aside> 💡 Once tag is created, most of Agent Platform provides mechanism to carry on further actions including automation, notification, etc.
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