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Documentation Index

Fetch the complete documentation index at: https://docs.monobot.ai/llms.txt

Use this file to discover all available pages before exploring further.

The General tab allows you to configure the core settings of your AI agent, including identity, behavior, and default interaction parameters.
General Settings Tab

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Basic Settings

  • Agent Title: Defines the name of your AI agent as it appears across the platform and in interactions.
  • Organization: Assigns the agent to a specific organization for management, billing, and access control.

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Location & Contact Settings

  • Timezone: Sets the default timezone used for all date and time-related operations (e.g., scheduling, timestamps, availability).
  • Phone Number: Assigns a phone number to enable voice interactions and call handling for the agent.

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Large Language Model Settings

  • Large Language Model: Selects the AI model that powers the agent’s responses and reasoning capabilities.
  • Temperature: Adjusts response creativity (higher = more creative and varied responses, lower = more consistent and deterministic).

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Welcome Message

  • Welcome Message: Defines the first message users see when starting an interaction with the agent.

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Prompt Instruction

  • Prompt Instruction: Defines the core behavior, personality, and rules of the AI agent.
  • Controls how the agent communicates, what it is allowed to do, and how it handles different scenarios.
  • Used to enforce constraints (e.g., no hallucination, use only provided data).
  • Guides data collection, conversation flow, and response style.

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Dynamic Variables (@)

You can use dynamic variables inside the prompt by typing @ and selecting from the available options. These variables allow you to inject real-time data into the prompt. Examples of commonly used variables:
  • @Full Date: Inserts the current date.
  • @Time 12-hour / @Time 24-hour: Inserts the current time in the selected format.
  • @Current Day of Week: Inserts the current weekday.
  • @Conversation Type: Provides the current interaction type (Chat, Call).
  • @Timezone: Returns the configured timezone.
  • @Language / @Language Code: Provides the user’s language settings.
These variables help make the agent more context-aware and enable dynamic, time-sensitive behavior.

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Notes

  • The Prompt Instruction is the most important setting and directly impacts agent performance.
  • The Temperature setting should be lower for structured tasks (e.g., booking) and higher for creative conversations.
  • Dynamic variables (@) should be used when the agent needs real-time context (e.g., date, time, or interaction type).
  • Ensure the Timezone is correctly set to avoid issues with scheduling and time-based logic.