Build Your First AI Agent

Prerequisites

Before we start building, ensure you have everything ready:

✅ Tars Account - Create account if you don’t have one
✅ Gmail Account - Use your support email for professional communication

Setup Time: Account creation takes 2-3 minutes. Gmail is required for all setups.

Agent workflow overview

In this guide, you’ll build an AI support Agent that answers user questions using your Knowledge Base and escalates issues to support via email.

How it works: The AI Agent receives a user’s question, searches your Knowledge Base for relevant information, provides an answer, and if more help is needed, collects user details and notifies the support team via email.

Add Knowledge sources

Your AI Agent needs knowledge to answer customer questions accurately. Let’s add your company’s information.

Step 1: Navigate to Knowledge Bases

Navigate to the Knowledge Base section in your Tars dashboard.
Click Add Knowledge to create a new Knowledge Base
Choose your data source type (Website, PDF, CSV, or Q&A)
Fill in the required fields
Add your Data Resources
Fetch your data
Train your Knowledge Base
Ready to Use - Knowledge base appears in My Knowledge Bases section

Check out our step-by-step guide on creating a Knowledge Base covering all data source types, training, and testing.

Step 2: Create Tars Docs Knowledge Base

For this tutorial example, we’ll create a Knowledge Base using Tars help documentation:

Configuration

Knowledge Base Name: Tars Docs
Data Source: Website URL
URL: https://help.hellotars.com (Tars help documentation)
Settings: Use default settings for optimal results

What happens next

Fetch Links - System discovers and scrapes all documentation pages
Training - AI processes and indexes the content for search
Ready to Use - Knowledge base appears in My Knowledge Bases section

Knowledge Base ready! Your Agent now has the knowledge to answer customer questions accurately.

Connect tool

Now let’s connect the Gmail tool to your Agent to send email notifications.

Step 1: Navigate to Tools

Navigate to the Tools section in your Tars dashboard
Click Add Tools to see available integrations
Search for Gmail to set up email functionality

Search for Tool

Tools dashboard showing available integrations

Configure Tool

Add Tool modal with configuration options

Tool name setup

Connect tool

Verify your connections

Gmail tool successfully connected confirmation

Step 2: Follow the detailed guide

For complete step-by-step instructions on connecting tools, follow our comprehensive guide:

Tools connection guide

Complete guide covering Gmail setup and tool configuration.

Quick overview

Gmail: Required for sending customer confirmation emails

Step 3: Verify your connections

After completing the authentication flow, you’ll be redirected back to the tool configuration page.

Connection Status

✅ Connected - Tool is successfully authenticated and ready to use
❌ Error - Authentication failed or connection issue

If you see an error, refresh the page and check if the tool is connected. You may need to reconnect or check your permissions.

Create your AI Agent

Now let’s build your AI Agent from scratch and configure it step by step.

Step 1: Create Agent from Scratch

Navigate to the Create Agents page in your Tars dashboard:
Click the Create from Scratch card
Enter Agent details:
- Name: Tars Guide AI
- Icon: Choose or shuffle for a custom icon
Click Create Agent

For more details about Agent creation methods visit Platform Tour

Create agent modal with name and description fields

Step 2: Basic Agent publish and preview

Click Publish and then Preview to test your basic Agent setup.

Publishing Agent and opening preview window

You will notice that the conversation has ended after single message, this is because the flow has come out of the Agent gambit. To keep the conversation going, you need to self-loop the Agent gambit.

Step 3: Self-loop the Agent

Connect the Agent output back to itself to allow multiple questions in one session.

Creating self-loop for continuous conversation

Step 4: Publish and preview

Click Publish and then Preview to test your Agent setup.Now you can see that the conversation is continuing and you can ask as many questions as you want.

Step 5: Add Knowledge Base

Now that our Agent is is ready to answer, we should give the Agent some knowledge to answer from. For this, we will add the Knowledge gambit to the canvas. Drag the Knowledge gambit onto the canvas and select “Tars Docs” from the dropdown.

The Knowledge gambit will now be added and you could see a pulsating indicator on the gambit.This shows that the Knowledge gambit

Step 6: Select Knowledge Base

Now, we have to select the knowledge source in the Knowledge Base gambit modal. This will set the configuration for this Knowledge Base gambit with the selected, trained Knowledge Base.

Step 7: Connect Knowledge Base to Agent

Connect the Knowledge Base output to the Agent Gambit to enable access.

Connecting Knowledge Base to Agent gambit

Step 8: Test with Knowledge

Publish and test by asking questions from your Knowledge Base.

Testing Agent with Knowledge Base questions

Step 9: Add Gmail Tool

Drag the Tool gambit onto the canvas and select your configured Gmail tool.

Step 10: Select Gmail Tool

Choose your connected Gmail tool from the dropdown and configure email settings.

Step 11: Connect Gmail Tool

Connect the Tool output to the Agent Gambit to enable email functionality.

Step 12: Configure Agent settings

Click on the Agent Gambit to open configuration panel and customize your Agent’s behavior.

Welcome message
Basic settings
Advanced settings
Jump logic

Welcome message is displayed when users first engage with the Agent or transition from another gambit.

Initiates the conversation
Not repeated in continuous interactions
Provides a friendly greeting and sets the context

Example:

Welcome to **Tars Guide AI!👋** I'm here to help you with any questions related to Tars and provide guidance. How can I assist you today?

Step 13: Customize Agent prompt

Configure the Agent’s system prompt to define personality, answer criteria, and behavior guidelines.

Complete prompt
Prompt breakdown

Copy and paste these prompt sections into your Agent’s system prompt field:1. Introduction & role definition:

You are **Tars Guide AI**, the official representative of Tars. Your role is to provide accurate, concise, and well-structured guidance based on the official Tars helpdocs. Always maintain a professional yet friendly tone, and use **Markdown formatting** to make responses visually clear and easy to follow.

2. Personality & tone:

### **1. Personality & tone**

As Tars Guide AI, you represent the company with professionalism and clarity.  
- Keep answers short, precise, and easy to read.  
- Maintain a friendly, approachable voice while staying authoritative.  
- Use **bold text**, *italics*, bullet points, and headers for clarity.  
- Avoid unnecessary length or off-topic replies.  

3. Knowledge retrieval & response rules:

### **2. Knowledge retrieval & response rules**

- For answering questions related to Tars and its product, always use the **knowledge_retrieve** tool.  
- Provide responses only from the retrieved Knowledge Base.  
- If no relevant answer is found, politely inform the user that the information is not available in the helpdocs.  
- Responses should be concise, structured, and easy to follow.  
- Use **step-by-step formatting** only if necessary or requested.  
- Always speak as **we** (Tars company representative).  

4. Escalation donditions:

### **3. Escalation & support process**

At the end of **every response**, politely suggest:  
*"If you'd like, I can also connect you with our support team for further assistance."*  

If the user requests support:  

#### **Switch to support mode**  
- From this point, do **not** attempt to answer their queries.  
- Treat user inputs only as **support information to collect**.  

#### **Step-by-step collection**  
1. Ask for **Full Name**  
2. Then ask for **Email ID**  
3. Finally, ask for **One key question or issue**  
   - Do **not** answer this question.  

#### **Email escalation**  
Once all details are collected, prepare and send an email using the Gmail tool with this format , don't show the user input and the processing step to the user: 

5. Support email template:

{
  "recipient_email": "{{user_email}}",
  "subject": "We've received your support request – Tars Platform",
  "body": "<!DOCTYPE html>
<html>
  <body style='font-family: Arial, sans-serif; color: #333; line-height: 1.6;'>
    <div style='max-width: 600px; margin: auto; padding: 20px; border: 1px solid #eee; border-radius: 10px;'>
      <h2 style='color: #4A90E2;'>Hi {{username}},</h2>
      <p>Thank you for reaching out to the <strong>Tars Support Team</strong>. We've received your request and our team will get back to you shortly.</p>
      
      <h3 style='color: #4A90E2;'>Your Request Details:</h3>
      <ul>
        <li><strong>Name:</strong> {{username}}</li>
        <li><strong>Email:</strong> {{user_email}}</li>
        <li><strong>Issue/Question:</strong> {{user_question}}</li>
      </ul>
      
      <p>Our support specialists will review your request and respond within the next 24–48 hours.</p>
      
      <p>If you need to add more details, feel free to reply directly to this email.</p>
      
      <br/>
      <p style='color: #555;'>Best regards,<br/>Tars Support Team</p>
    </div>
  </body>
</html>",
  "is_html": true
}

6. User confirmation message:

After sending the email, politely confirm to the user:

> *"Your request has been forwarded to our support team. They will get in touch with you shortly via email."*

7. Key guidelines:

### **4. Key guidelines**

* **Tone:** Friendly, professional, and concise.
* **Format:** Always use Markdown for readability.
* **Scope:** Answer only from Tars helpdocs and platform documentation.
* **Escalation:** End every response by asking if the user would like team support. If yes, follow the support process above.

Copy each section in order and paste them all together into your Agent’s system prompt field for the complete prompt.

This prompt ensures your Agent maintains consistent brand voice, provides accurate information, and handles escalations professionally.

Step 14: Final testing

Publish and test the complete workflow with all configurations.

First ask any question related to knowledge source you have added.
Then ask for any help or support.
The Agent would ask your details and send you an email with the details.

Agent Complete! Your Agent now has Knowledge Base integration and tool functionality.

Configure your AI Agent

Now that your Agent is created, let’s configure its metadata and advanced settings to customize its behavior, appearance, and integrations.

Navigate to Configuration

Access the Agent’s configuration settings using the side panel from the builder canvas.

Open your Agent in the builder (you’ll see the canvas with your Agent workflow)
Look for the double arrow icon (>>) on the left side of the canvas
Click the double arrow (>>) to open the side panel
View the “Build Agent” section with options: Make, Configure, Design, Distribute/Share
Click “Configure” to expand the configuration options
Select from the configuration tabs:
- General - Basic Agent information and settings
- SEO Settings - Meta information and search optimization
- Email Notifications - Notification preferences
- Goal Settings - Success metrics and analytics
- Voice & Audio - Speech and audio configurations

Opening configuration side panel and accessing settings

General settings

Configure the basic information and identity of your Agent.

Agent Configuration

Robot Avatar: Upload or select a custom avatar for your Agent (shows a robot character)
Title: Set the Agent’s display name (e.g., “Tars Guide AI”)
Description: Write a detailed description of what the Agent does
Subdomain: Configure a custom URL slug (default format: <slug>.hellotars.com/conv/xxxxxx the default value of slug is Agent if not configured)
Language: Select the primary language for the Agent (dropdown with English options)

The subdomain allows you to create a memorable URL for your Agent. Choose something that reflects your Agent’s purpose.

General settings configuration interface

SEO settings

Optimize your Agent’s discoverability and social media sharing.

Meta Information

Meta Image: Upload an image for social media previews and thumbnails
Meta Title: Set the page title that appears in search results (e.g., “Tars Guide AI | TARS”)

Favicon Configuration

Favicon: Upload a custom favicon that appears in browser tabs
- Shows preview of how it will appear in the browser
- Toggle to use Meta Image as favicon

Agent Description

Industry: Select from dropdown (e.g., “AI Agents”)
Use Case: Define the specific use case for your Agent
Description: Write a detailed description of what the Agent does

Email notification settings

Configure email triggers, update the email subject and add recipients.

Email Notification Configuration

Email Subject: Customize the subject line for notification emails (e.g., “Someone Filled: Tars Guide AI”)
Email ID: Set the recipient email address for notifications (supports multiple addresses separated by comma or space)

You can add multiple email addresses to receive notifications about Agent interactions.

Goal settings

Define success metrics and integrate analytics for your Agent.

Goal Gambit configuration

Goal Gambits: Search and select gambits that represent successful conversation outcomes
Used to calculate Agent Goal Completions and Agent Conversion Rate in Data Analysis
Multiple gambits can be selected from the dropdown

Third party analytics

Analyze user behaviour and conversions with third party tools like Google Analytics, Google Ads & Facebook Pixel.

Google analytics configuration

GA4 Code: Enter your Google Analytics 4 measurement ID (format: G-XXXXXXXXX)
Event Tracking: Choose from dropdown options:
- Send no events to GA
- Send all user responses as events to GA
- Send only Goal Gambit user responses as events to GA

Google Ads configuration

Remarketing/Conversion ID: Enter your Google Ads conversion ID (format: AW-XXXXXXXXX)
Conversion Label: Set the conversion label for tracking
Google Tag Manager Code: Enter your GTM container ID (format: GTM-XXXXXXX)

Facebook configuration

Facebook Pixel ID: Enter your Facebook Pixel ID for tracking conversions and user behavior

Each analytics platform requires specific configuration IDs and tracking codes for proper integration.

Goal settings and analytics configuration

Voice & Audio Settings

Enable and configure speech-to-text and text-to-speech features for voice interactions.

Text-to-speech (TTS) configuration:

Text-to-speech: Toggle to enable reading messages aloud in the selected voice
TTS Streaming: Enable for real-time audio streaming
Select Voice: Choose from available voice options (e.g., “Alloy”)
Includes audio preview functionality

Speech-to-text (STT) configuration:

Speech-to-Text: Toggle to enable automatic transcription to text
Max Voice Record Time: Set maximum recording duration (e.g., “2 Mins”)

Voice features enhance accessibility and provide a more interactive user experience for your Agent.

Configuration Complete! Your Agent is now fully configured with custom metadata and advanced settings.

Customize design and appearance

Now that your Agent is configured, let’s customize its visual design to match your brand and create an engaging user experience.

Navigate to design

Access the design settings from the side panel to customize your Agent’s appearance.

Open your Agent in the builder (you’ll see the canvas with your Agent workflow)
Click the double arrow icon (>>) on the left side to open the side panel
Select “Design” from the “Build Agent” section
View the design interface with “Agent Design” and “Widget Design” tabs

Navigating to design settings from builder canvas

Explore themes

Choose from pre-built themes or create custom designs for your chat interface.

Click on “Agent Design” tab to access chat interface themes
Browse available themes in the “Themes” section
Toggle “Dark themes” to explore dark mode variations
Preview each theme in real-time on the right side
Select a theme that matches your brand aesthetic

Available Options:

Light Themes: Various color combinations for bright, clean interfaces
Dark Themes: Professional dark mode options for modern appeal
Real-time Preview: See changes instantly in the chat preview

Exploring themes and dark theme variations

Custom design

Move beyond pre-built themes to create completely personalized chat experiences. The Custom design section offers advanced customization options where you can individually configure each element of your chat interface

from the header and message bubbles to chat backgrounds
giving you complete creative control over your Agent’s appearance.

Click “Custom” tab to access advanced design options
Explore the custom design sections for individual element control

Complete custom design overview with all elements

Configure widget design

Customize the chat widget that appears on your website to match your brand and provide an engaging entry point for users.

Click “Widget design” tab to access widget settings
Configure your widget appearance and behavior

Upload Custom Icon: Add your company logo or branded icon
Default Icons: Choose from pre-built icon options including various chat and support symbols

Icon Preview: See how your selected icon appears on the widget

Background Color: Set the widget button background color to match your brand
Size: Choose widget dimensions (Small, Medium, Large) based on your website layout
Shape: Select between Square or Circle shape for the widget button
Widget Preview: Real-time preview shows how the widget will appear on your site

Position: Choose widget placement on your website (Left or Right side)
Bottom Padding: Set vertical spacing between the widget and the bottom of the screen
Side Padding: Set horizontal spacing between the widget and the right side of the screen

Widget position options - left and right placement

Callout Message Configuration

Custom Message: Set personalized greeting text to engage visitors (e.g., “Hey there! I am here to help you 👋”)
Message Styling Options:
- Font: Choose typography for the callout message (e.g., “Poppins”)
- Size: Set font size for optimal readability (e.g., “14”)
- Padding: Customize vertical and horizontal spacing around the message text
- Message Color: Set text color for the callout bubble
- Background: Customize callout bubble background color

Auto-display timing and sound effects are currently set to default values and will be configurable in future updates.

Here’s how our customized widget looks with all the design elements applied:

Callout Message: “Hey there! I am here to help you 👋”
Font Family: Poppins for modern, clean typography
Font Size: 14px for optimal readability
Padding: 5px vertical, 5px horizontal for balanced spacing
Widget Position: Bottom-right with custom spacing

Widget Design Complete! Your chat widget is now professionally designed and ready to engage visitors on your website.

Distribute your AI Agent

Now that your Agent is designed and configured, it’s time to make it available to your customers through various distribution channels.

Navigate to Distribution

Access the distribution options from the side panel to deploy your Agent across different platforms.

Open your Agent in the builder
Click the double arrow icon (>>) on the left side to open the side panel
Select “Distribute/Share” from the “Build Agent” section
Choose your preferred distribution method

Navigating to distribute options from builder

Agent link sharing

Website widget integration

Embed your Agent as a chat widget on your existing website for seamless customer support.

Website widget embed code and configuration

Click “Widget” to access embed options
Copy the provided JavaScript code snippet
Paste the code into your website’s HTML before the closing </body> tag
Configure widget behavior:
- Enable WhatsApp Widget: Toggle this to replace your custom widget icon with a WhatsApp icon that redirects users to your configured WhatsApp number from channel settings when clicked. If you haven’t configured WhatsApp yet, set it up here.
- URL Tracking Parameters: Set to None for no tracking or Parent Page to capture and track the URL of the page where the widget is embedded for analytics
- Auto-open Widget: Enable to automatically open the chat window when users visit your page, providing immediate engagement
- Hide Callout Message Bubble: Toggle the welcome message bubble visibility - disable to hide the greeting message that appears next to the widget
- Hide Widget Button on Widget Close: Control whether the widget button remains visible after users close the chat window
- Auto-close Widget: Set the chat window to automatically close after conversation completion.
- Widget Background Overlay: Enable to add a semi-transparent background overlay when the widget is open, focusing user attention on the chat

On-domain deployment

Host your Agent on a custom domain for professional branding and better user experience. This option provides you with a complete HTML file that you can upload to your own platform or hosting service.

Click “On-Domain Deployment” for custom hosting options
Download HTML file containing your Agent (includes complete iframe embed and styling)
Upload the HTML file to your web server or hosting platform
Configure your domain to point to the uploaded file
Test the custom domain deployment

What’s included in the HTML file:

Complete Agent Embed: Full iframe integration with your Agent
Responsive Styling: Mobile-friendly CSS for all screen sizes
Optimized Loading: Proper viewport settings and performance optimization
Ready to Deploy: No additional configuration needed

Benefits:

Professional Branding: Use your own domain (e.g., support.yourcompany.com)
Better SEO: Improved search engine visibility
Custom URLs: Create memorable, branded links
Full Control: Complete ownership of the hosting environment
Platform Flexibility: Upload to any hosting service or platform

Note: On-domain deployment requires a verified domain name. Contact support for setup assistance.

WhatsApp integration

Connect your Agent to WhatsApp for direct messaging with customers.

Prerequisites:

Add WhatsApp Business Number: First, add your WhatsApp Business number in Account Settings > Channels > WhatsApp
Follow Setup Guide: Use the connection guide available in your account settings to properly configure WhatsApp integration

Publishing to WhatsApp:

Click “WhatsApp” from the distribution options
Select your WhatsApp number from the dropdown menu
Click “Publish” to connect your Agent to WhatsApp

Result: Your Agent will now be available through WhatsApp messaging, allowing customers to interact with your AI support directly via WhatsApp.Click on the TAKE ME TO WHATSAPP CAMPAIGNS to see the Agent.

WhatsApp integration requires a verified WhatsApp Business number. Contact support for setup assistance.

Distribution Complete! Your Agent is now available across multiple channels and ready to engage customers 24/7.

View conversation data & debug issues

Now that your Agent is live, let’s explore how to view conversation history, track where conversations come from, and debug issues using execution logs.

Navigate to Data View

Access your Agent’s conversation history and debugging tools through the data dashboard.

Navigate to the View & Export section in your Agent’s side panel
Click View & Export to open the data view dashboard
View the conversation history with detailed interaction logs
Access debugging tools and conversation source information

Navigating to data view and analytics overview

View conversation history

See all conversations your Agent has had with users, including complete message exchanges and timestamps.

What you can see

Conversation List: All user sessions listed chronologically with timestamps
Conversation ID: Unique identifier for each session (#1, #2, #3, etc.)
Complete Messages: Full conversation between user and Agent
Timestamps: Exact date and time when each conversation occurred

How to use

Click any conversation to view the complete message exchange
See what users asked and how your Agent responded
Review conversation flow to understand user interactions

Conversation history overview with detailed interaction logs

Track conversation sources

See where your conversations are coming from and get user details for each interaction.Hover the Details button on any conversation to see:

Detailed conversation metadata showing user information and analytics

Conversation source information

IP Address: User’s location (e.g., 185.183.33.218)
Device Type: What device they used (Desktop, Mobile, Tablet)
Visited From: The URL where the conversation started
Referred From: What page or site led them to your Agent
Interaction Time: Exact timestamp when they started chatting

Why this matters

Track Traffic Sources: See which pages or sites send you the most users
Device Usage: Know if users prefer mobile or desktop
User Journey: Understand how people find and use your Agent

Filter conversations by date

View conversations from specific time periods to find what you’re looking for.

How to filter by date

Click the date range selector in the top-right corner
Select custom dates using the calendar picker
View conversations from your selected time period

Useful for

Weekly Reviews: Check last week’s user interactions
Monthly Analysis: Review a full month of conversations

Date range filter with calendar selection for analytics

Debug with Gambit Execution Logs

See exactly how your Agent processed each conversation to debug issues and understand what happened behind the scenes.

How to view Execution Logs

Click the Gambit Execution Log tab for any conversation
Select which gambit to examine (Agent, Knowledge, Tools) from the dropdown
View the Input data that was sent to the gambit
View the Output data that the gambit produced

What input shows you

User’s Message: What the user actually typed
Previous Context: Earlier messages in the conversation
System Settings: How your Agent was configured for this interaction

Gambit execution logs showing input data and processing details

What output shows you

Agent’s Response: The exact response your Agent generated
Tool Actions: If your Agent sent emails or used other tools
Knowledge Used: What information your Agent found and used
Success/Errors: Whether everything worked correctly or if there were issues

Gambit execution logs showing output data and response generation

Understanding the three execution stages

Each gambit execution goes through three distinct stages that you can examine:1. User Interaction Stage

Purpose: Displays information to the user and collects user inputs
What you see: The messages shown to users and any input they provided
Debug use: Check if users saw the right information and provided expected inputs

2. Post Stage

Purpose: Does the main processing work of the gambit
What you see: Internal processing, data transformations, external API calls, and core functionality execution
Debug use: See exactly how the gambit processed inputs and what operations it performed

3. Jump Stage

Purpose: Defines which gambit to move to next in the conversation flow
What you see: The logic that determines the next step in the workflow
Debug use: Understand why the conversation moved to a specific gambit or direction

Three stages of gambit execution: User Interaction, Post Stage, and Jump Stage

Why this helps you debug

Find problems: See exactly which stage failed and why
Check processing: Verify if the gambit’s main functionality worked correctly in the Post Stage
Understand flow: See why the conversation moved to specific gambits in the Jump Stage
Fix issues: Identify whether problems are in user interaction, core processing, or flow logic

Data View Complete! You now know how to view conversation history, track where conversations come from, and debug issues using execution logs.

Congratulations! 🎉

You’ve successfully built a complete AI support Agent with: ✅ Knowledge Base Integration - Added Tars Docs Knowledge Base for accurate responses
✅ Tool Integration - Connected Gmail for automated email confirmations
✅ Agent Configuration - Built a self-looping Agent with custom prompts and settings
✅ Professional Design - Customized appearance, branding, and user interface
✅ Smart Escalation - Configured support flow with email collection and handoff
✅ Data Monitoring - Set up conversation tracking and debugging capabilities

Need Help? Check out our Video Tutorials or join our Community Forum for additional guidance and support from other users.

Quick guide

Platform Fundamentals

Tars overview

Getting help

​Prerequisites

​Agent workflow overview

​ Add Knowledge sources

​Configuration

​What happens next

​ Connect tool

Search for Tool

Configure Tool

Tool name setup

Connect tool

Verify your connections

Tools connection guide

​Quick overview

​Connection Status

​ Create your AI Agent

​Configure your AI Agent

​Agent Configuration

​Meta Information

​Favicon Configuration

​Agent Description

​Email Notification Configuration

​Goal Gambit configuration

​Third party analytics

Google analytics configuration

Google Ads configuration

Facebook configuration

​Text-to-speech (TTS) configuration:

​Speech-to-text (STT) configuration:

​ Customize design and appearance

​Widget Icon Configuration

​Widget Appearance Settings

​Widget Position & Placement

​Callout Message Configuration

​Our Widget Design Example

​ Distribute your AI Agent

​View conversation data & debug issues

​What you can see

​How to use

​Conversation source information

​Why this matters

​How to filter by date

​Useful for

​How to view Execution Logs

​What input shows you

​What output shows you

​Understanding the three execution stages

​Why this helps you debug

​Congratulations! 🎉

Prerequisites

Agent workflow overview

Add Knowledge sources

Configuration

What happens next

Connect tool

Quick overview

Connection Status

Create your AI Agent

Configure your AI Agent

Agent Configuration

Meta Information

Favicon Configuration

Agent Description

Email Notification Configuration

Goal Gambit configuration

Third party analytics

Text-to-speech (TTS) configuration:

Speech-to-text (STT) configuration:

Customize design and appearance

Widget Icon Configuration

Widget Appearance Settings

Widget Position & Placement

Callout Message Configuration

Our Widget Design Example

Distribute your AI Agent

View conversation data & debug issues

What you can see

How to use

Conversation source information

Why this matters

How to filter by date

Useful for

How to view Execution Logs

What input shows you

What output shows you

Understanding the three execution stages

Why this helps you debug

Congratulations! 🎉