Getting Started
Build AI Agent

Build Your First AI Agent

Create a powerful AI customer support agent that understands your business and helps your customers 24/7. This comprehensive guide walks you through every step of the process.

10 minutes
Intermediate
No coding required

What You Will Learn

By the end of this guide, you will have a fully functional AI agent that can:

Answer customer questions accurately using your knowledge base
Provide 24/7 customer support without human intervention
Collect leads and customer information automatically
Book meetings and appointments through integrated calendars
Create support tickets for complex issues
Maintain consistent brand voice across all conversations

Complete Step-by-Step Process

1

Access Your Workspace

Navigate to your Chatlo workspace where you'll create your AI agent.

Log into your Chatlo account and select the workspace where you want to create your AI agent. If you haven't created a workspace yet, you'll need to do that first from your dashboard.

2

Start Agent Creation

Click the "Create New Agent" button to begin building your AI assistant.

Look for the prominent "Create New Agent" or "Add Agent" button in your workspace dashboard. This will open the agent creation wizard that guides you through the setup process.

3

Configure Basic Settings

Set up your agent's name, description, and basic personality traits.

Choose a descriptive name for your agent (e.g., "Customer Support Bot", "Sales Assistant"). Write a clear description of what the agent will do. Select personality traits that match your brand voice - professional, friendly, casual, or technical.

4

Design Conversation Flow

Create welcome messages and define how your agent will greet users.

Write engaging welcome messages that introduce your agent and set expectations. Create fallback responses for when the agent doesn't understand a question. Set up conversation starters to guide users.

5

Add Knowledge Sources

Upload content, connect websites, or integrate with your existing knowledge base.

Start building your agent's knowledge by adding relevant content. You can upload documents, connect your website for automatic content scraping, add FAQ sections, or integrate with tools like Notion or Google Sheets.

6

Train and Test

Train your agent with your content and test its responses before going live.

Use the training interface to process your uploaded content. Test your agent by asking sample questions to ensure it provides accurate and helpful responses. Refine answers and add additional content as needed.

7

Configure Advanced Features

Set up actions, integrations, and advanced conversation capabilities.

Add AI actions like lead collection forms, Calendly integration for booking, custom buttons, or Zendesk ticket creation. Configure when these actions should trigger during conversations.

8

Deploy Your Agent

Choose how and where to deploy your trained AI agent.

Select your deployment method - website widget, standalone help page, or WhatsApp Business. Customize the appearance to match your brand, then generate the deployment code or link.

Knowledge Source Options

Choose the best way to train your AI agent with your existing content:

Website Content

Automatically scrape and train from your existing website

Best for: Companies with comprehensive websites

Document Upload

Upload PDFs, Word docs, and other files

Best for: Manuals, policies, and documentation

FAQ Database

Create structured question-answer pairs

Best for: Common customer inquiries

Text Content

Direct text input for specific information

Best for: Quick updates and specific content

Enhance with AI Actions

Add interactive capabilities to your agent with these powerful actions:

Lead Collection

Capture visitor information during conversations

Setup time: 5 minutes

Calendly Integration

Allow visitors to book meetings directly

Setup time: 3 minutes

Custom Buttons

Create interactive buttons for specific actions

Setup time: 10 minutes

Zendesk Tickets

Create support tickets for complex issues

Setup time: 5 minutes

Best Practices for Success

Start with a focused scope - train your agent on specific topics first
Use clear, concise language in your knowledge base content
Include common customer questions and their variations
Regularly test and refine your agent's responses
Monitor conversations to identify areas for improvement
Keep your knowledge base updated with new information
Use categories to organize your content effectively
Set up proper fallback responses for unknown questions

Common Mistakes to Avoid

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Overloading with too much information at once

Start with core content and gradually expand your knowledge base

!

Not testing thoroughly before deployment

Test extensively with real customer questions before going live

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Ignoring conversation analytics

Regularly review performance metrics and user feedback

!

Setting unclear expectations

Be transparent about what your AI agent can and cannot do

Ready to Build Your Agent?

Follow this guide step by step to create a powerful AI customer support agent that transforms your customer experience.

Need Help Building Your Agent?

Our support team is here to help you create the perfect AI agent for your business needs.