> ## Documentation Index
> Fetch the complete documentation index at: https://graine.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent Creation

> Create your first voice agent in 3 simple steps

## Overview

Creating an agent in Graine AI is a streamlined 3-step process that takes approximately 5-10 minutes. You'll configure the voice, behavior, and capabilities of your AI agent.

## Agent Creation Process

<Steps>
  <Step title="Step 1: Voice Selection">
    Choose the voice and language for your agent

    ### Select Template (Optional)

    Start with a pre-built template:

    * **Customer Support** - Handle customer inquiries and support tickets
    * **Sales Assistant** - Qualify leads and schedule appointments
    * **Appointment Booking** - Schedule and manage appointments
    * **Survey & Feedback** - Collect customer feedback and surveys

    ### Choose Voice & Language

    **Agent Name**: Give your agent a descriptive name

    **Primary Language**: Select from 10+ languages

    * English, Hindi, Tamil, Malayalam, Telugu
    * Bengali, Gujarati, Punjabi, Marathi, Kannada, Spanish

    **Secondary Language**: Optional fallback for multilingual support

    **Voice Selection**: Choose from multiple voice profiles

    * **Male voices**: Mahesh, Rahul, Abhilash
    * **Female voices**: Manisha, Vidya, Susheela, Anika, Anushka

    <Tip>Preview each voice before selecting to find the perfect match</Tip>
  </Step>

  <Step title="Step 2: Configuration">
    Configure your agent's knowledge and behavior ### Product Information
    (Required) **Company Name** - Enter your company or organization name - Used
    in the agent's introduction **Call Purpose** - Clearly state the purpose of
    calls - Examples: "Sales outreach", "Customer support", "Appointment booking"
    **Additional Information** - Provide context about your business, products, or
    services - Include key information the agent should know - Be specific and
    comprehensive ### Frequently Asked Questions (FAQs) Add common questions and
    answers: - Click "Add FAQ" to create question-answer pairs - Each FAQ should
    address a common customer inquiry - Provide clear, accurate, and concise
    answers **Best Practices**: - Cover your most common inquiries - Keep answers
    concise (2-3 sentences) - Use natural, conversational language - Update
    regularly based on customer interactions ### Introduction / Greeting Message
    Write the opening message your agent will use: `plaintext Example: "Hello!
          I'm calling from Acme Corporation. My name is Sarah, and I'm an AI assistant
          here to help you with scheduling your appointment. Is this a good time to
          talk?" `

    <Warning>
      Make your greeting warm, professional, and clear about the call's purpose
    </Warning>

    ### Custom Variables Personalize conversations dynamically: \*\*Default

    Variables\*\*: - `callee_name` - Customer's name - `mobile_number` - Phone
    number **Adding Custom Variables**: - Click "Add Variable" - Enter variable
    name (e.g., `appointment_date`, `order_number`) - Provide default value
    (optional) - Use in prompts as `{variable_name}` Example usage: `plaintext
          "Hello {callee_name}, I'm calling about your appointment on {appointment_date}
          " ` ### Knowledge Base Connect external knowledge sources: 1. Navigate to
    "Knowledge Base" in the sidebar 2. Select from your uploaded collections 3.
    Connect desired knowledge bases to your agent 4. Agent will automatically
    reference these documents during calls
  </Step>

  <Step title="Step 3: Deploy">
    Launch your agent

    1. Click "Create Agent"
    2. Wait for generation (typically 10-30 seconds)
    3. Your agent is now ready to use!

    <Check>
      Your agent will appear in your dashboard with a unique ID
    </Check>
  </Step>
</Steps>

## Templates

### Customer Support Template

Pre-configured for handling customer inquiries:

* Professional greeting
* FAQ structure for common issues
* Escalation paths
* Ticket creation capabilities

### Sales Assistant Template

Optimized for lead qualification:

* Qualifying questions
* Appointment scheduling
* Product information delivery
* Follow-up coordination

### Appointment Booking Template

Streamlined scheduling process:

* Availability checking
* Calendar integration
* Confirmation handling
* Reminder setup

### Survey & Feedback Template

Designed for data collection:

* Structured question flow
* Rating scales
* Open-ended responses
* Thank you messaging

## Best Practices

<AccordionGroup>
  <Accordion title="Start with a Template">
    Templates provide proven conversation flows. Customize them rather than starting from scratch.
  </Accordion>

  <Accordion title="Keep FAQs Concise">
    * Aim for 2-3 sentence answers - Use simple language - Cover 80% of common
      questions - Add more over time based on actual calls
  </Accordion>

  <Accordion title="Test Your Greeting">
    Your greeting sets the tone. Test multiple versions to find what works best
    for your audience.
  </Accordion>

  <Accordion title="Use Descriptive Variable Names">
    Instead of `var1`, use `appointment_date` or `order_number` for clarity.
  </Accordion>
</AccordionGroup>

## After Creation

Once created, you can:

<CardGroup cols={2}>
  <Card title="Test Your Agent" icon="phone">
    Use web calling to test immediately (Coming Soon)
  </Card>

  <Card title="Configure Tools" icon="wrench" href="/integrations/overview">
    Add MCP tools and integrations
  </Card>

  <Card title="Create Campaign" icon="bullhorn" href="/campaigns/creating-campaigns">
    Launch your first calling campaign
  </Card>

  <Card title="View Analytics" icon="chart-line">
    Monitor performance metrics (Coming Soon)
  </Card>
</CardGroup>

## Next Steps

<Card title="Agent Configuration" icon="gear" href="/features/agent-configuration">
  Learn how to edit and manage your agents
</Card>