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📚 Knowledge Base

  • Select knowledge base: Choose available knowledge bases
  • Update: Apply knowledge base changes
Intelligence

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💬 Conversation Settings

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⚡ Responsiveness

Control how fast the agent responds after users finish speaking.
  • Current Setting: 1.00 (slider control)
  • Function: Adjusts delay before agent starts responding
  • Range: Lower values = faster response, Higher values = longer pause

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🎯 Interruption Sensitivity

Control how sensitively AI can be interrupted by human speech.
  • Current Setting: 0.60 (slider control)
  • Function: Determines how easily users can interrupt the agent
  • Range: 0.00 (hard to interrupt) to 1.00 (easy to interrupt)
Intelligence

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🗣️ Pronunciation Dictionary

Guide pronunciation of specific words or phrases. Add Pronunciation Modal:
  • Words: Enter the word(s)
  • Pronunciation: Select pronunciation type (dropdown)
  • Phoneme: Enter phoneme
  • Actions: Cancel/Save buttons
Intelligence

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⏰ Reminder Settings

  • Configuration: Enter/Second/Enter/Time fields
  • Purpose: Automated reminder scheduling
Intelligence

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👍 AutoRizz

Enables the agent to use affirmations like ‘yeah’ or ‘uh-huh’ during conversations.
  • Toggle: Enabled
  • Frequency: 0.8 (slider control)
  • Function: Controls how often the agent uses affirmations
  • Purpose: Creates natural conversation flow and shows active listening
Intelligence

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📝 Words List

A list of words that the agent would use for backchanneling.
  • Current Words: [Hmm] [ok]
  • Text Area: Editable list of backchanneling words
  • Function: Customizable vocabulary for natural responses
  • Purpose: Agent uses these words to acknowledge user speech
Intelligence

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🗣️ Smooth Talk

Converts text elements like numbers, currency, and dates into human-like spoken forms.
  • Toggle: Enabled
  • Function: Natural pronunciation of text elements
  • Examples: “15” becomes “fifteen”, “$20” becomes “twenty dollars”
  • Purpose: More natural and conversational speech patterns
Intelligence

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🔤 Boosted Keywords

Provide a customized list of keywords to expand our models’ vocabulary.
  • Text Area: “Enter boosted keywords, one per line”
  • Function: Enhances model understanding of specific terms
  • Use Cases: Industry jargon, product names, company-specific terms
  • Purpose: Improves recognition and usage of specialized vocabulary
Intelligence