What is an Agent?
An agent is an AI-powered conversational assistant that you deploy across your channels to interact with visitors and customers. Each agent is trained on your content and can answer questions, provide support, and engage users in natural conversations.Agent Types
Humanizing Agents supports two agent types, each designed for a different deployment channel:| Type | Description | Deployment |
|---|---|---|
| Chatbot | A chat widget embedded on your website. Visitors click the chat bubble to ask questions, get support, and interact with your brand. | Embed script on any website |
| Receptionist | A kiosk-based reception terminal for offices, hotels, and lobbies. Greets visitors, searches contacts, and manages check-ins with a multi-screen guided flow. | Public URL on a tablet or touchscreen |
When creating a new agent, you choose the type in the first step. Each type has its own onboarding wizard, navigation, and feature set.
Chatbot
The Chatbot is the original agent type. It powers an embeddable chat widget with:- RAG-powered responses from your knowledge base (web pages, text, Q&A pairs)
- 3D avatar with text-to-speech
- Customizable themes, colors, and widget positioning
- Deploy with one line of embed code
Receptionist Agent
The Receptionist is a new agent type designed for physical locations. It provides:- Multi-screen kiosk flow (language selection, visit type, contact search, calling, confirmation)
- Employee contact directory with CSV import
- Multilingual visitor welcome in 45+ languages
- Portrait and landscape kiosk orientations
- Deploy via a simple public URL (
/a/[publicKey]) on any touchscreen
Core Concepts
Knowledge Base
Every agent has a knowledge base - a collection of information sources that the agent uses to answer questions. Your knowledge base can include:| Source Type | Description | Best For |
|---|---|---|
| Web Sources | Pages from your website imported via URL or sitemap | Product pages, documentation, blog posts |
| Text Sources | Custom written content you provide | Company policies, internal knowledge |
| Q&A Sources | Specific question-answer pairs | FAQs, common support queries |
Avatar
Each agent has a 3D avatar that represents it visually. Avatars:- Animate and speak responses using text-to-speech
- Create a more engaging, human-like experience
- Can be customized to match your brand personality
System Prompt
The system prompt defines your agent’s personality, behavior, and response style. You can customize:- The agent’s name and role
- How it greets users
- Its communication style (formal, friendly, technical)
- Specific instructions for handling certain topics
Widget
The widget is the chat interface that appears on your website. It’s how visitors interact with your agent. The widget includes:- A chat bubble that opens the conversation
- A message input area
- The avatar display
- Language and voice options for visitors
Agent Lifecycle
Create
Create a new agent through the onboarding wizard by entering your website domain. The platform will automatically discover and suggest content to import.
Train
Add knowledge sources to teach your agent about your business. Import web pages, add custom text, and create Q&A pairs for common questions.
Customize
Configure your agent’s appearance, behavior, and widget styling. Choose an avatar, set colors, and write the perfect system prompt.
Deploy
Generate an embed script and add it to your website. Your agent is now live and ready to help visitors.
Key Features
RAG-Powered Responses
Agents use Retrieval-Augmented Generation (RAG) to find relevant content from your knowledge base and generate accurate, contextual responses.
Multi-Language Support
Serve visitors in their preferred language with built-in localization support for the widget interface.
Conversation History
Review past conversations to understand what visitors are asking and how your agent is responding.
Analytics Dashboard
Track usage metrics, conversation volumes, and identify popular topics to optimize your agent.
Agent vs Workspace
Understanding the relationship between agents and workspaces:| Concept | Description |
|---|---|
| Workspace | A container for organizing agents and managing team access. Each workspace can have multiple agents and members. |
| Agent | An individual AI assistant within a workspace. Each agent has its own knowledge base, settings, and deployment. |
You can create multiple agents within a single workspace - for example, one agent for sales inquiries and another for technical support, each trained on different content.
Best Practices
Start with quality content
Start with quality content
Focus on adding accurate, helpful content to your knowledge base. Well-written source material leads to better agent responses.
Test before deploying
Test before deploying
Use the Playground to test your agent with real questions before deploying to your website. Refine your system prompt based on responses.
Iterate and improve
Iterate and improve
Review conversations regularly to identify gaps in your knowledge base. Add new content to address common questions your agent couldn’t answer.
Keep prompts focused
Keep prompts focused
Write clear, specific system prompts that define exactly how your agent should behave. Avoid overly broad instructions.
Next Steps
Create a Chatbot
Follow our step-by-step guide to create and configure a website chatbot.
Create a Receptionist
Set up an AI-powered reception kiosk for visitor management.
Add Knowledge Sources
Learn how to train your agent with web pages, text, and Q&A content.
Deploy to Your Website
Get the embed code and go live with your agent.