YOCTOL.AI Document
  • Welcome Page
  • Seeker - Guideline
    • Fan analysis: Intimacy Level and Tag
    • Post & Analysis Dashboard
    • Publishing Tool: Create posts with auto tag and reply
    • How to set a Tracking URL
    • How to use Ads Audience tool
    • Message & Keyword Reply
    • Role Settings
    • Broadcast
    • FAQ
  • Creator - Chatbot Building Guide
    • (1) Create YOCTOL.AI Account
    • (2) Create Chatbot and Connect
    • (3) Create Intents and Utterances
    • (4) Train and Test
    • (5) Create Entity
    • (6) Edit Dialogue
    • (7) Set Rules
    • (8) Publish
  • Creator - Advanced Settings
    • Switch to Live Agent - Messenger
    • JSON API for Messenger
    • JSON API for LINE
    • Referral Link - Messenger
    • Extension
    • Tag
  • Creator - Campaign Promotion Guide
    • Set Broadcast Message
    • Auto Reply for Campaign
  • Creator - Common Issues
    • FAQ
    • How to improve my chatbot’s accuracy?
    • How to Activate a Staging Chatbot?
    • Can’t Find Existing Pages.
    • How to Switch back to Live Agent? (LINE)
    • Downloading and Uploading Chatbots
    • How to Switch Languages? (Chinese, English)
  • Creator - Term Translations
    • Dialogue
    • Message
    • Component
    • Intent
    • Utterance
    • Entity
    • Rule
    • Regular Expression
    • Menu
    • Default Reply
    • Welcome Message
    • Live Agent
    • Permission Management
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  1. Creator - Term Translations

Intent

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Last updated 5 years ago

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Under “My Bot” on the left sidebar on YOCTOL.AI, Intent is where you tell the bot how to categorize users’ intentions.

If you want to train your chatbot with its NLU engine on YOCTOL.AI, you need to have at least 2 intents. You can have a maximum of 25 intents.

We suggest you design 2-3 intents at first for your chatbot with 3-5 for each intent. An intent can have a maximum of 30 utterances.

Example

Take a chatbot for a beverage shop as an example. It has to understand these three basic intents.

  • Products Inquiry

  • Delivery Request

  • Branches Inquiry

There can be many ways to express the same intent. For example, when a customer asks about a new product of the shop, he/she could say “What brand is this? Is it good?” or “Do you have anything new?” With the NLU engine embedded in your chatbot, the bot would categorize these two messages as similar and respond with a product information message.

utterances