GETTING STARTED
Kore.ai XO Platform
Virtual Assistants Overview
Natural Language Processing (NLP)
Concepts and Terminology
Quick Start Guide
Accessing the Platform
Navigating the Kore.ai XO Platform
Building a Virtual Assistant
Help & Learning Resources
Release Notes
Current Version
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Request a Feature
CONCEPTS
Design
Storyboard
Overview
FAQs
Conversation Designer
Overview
Dialog Tasks
Mock Scenes
Dialog Tasks
Overview
Navigate Dialog Tasks
Build Dialog Tasks
Node Types
Overview
Intent Node
Dialog Node
Dynamic Intent Node
GenAI Node
GenAI Prompt
Entity Node
Form Node
Confirmation Node
Message Nodes
Logic Node
Bot Action Node
Service Node
Webhook Node
Script Node
Process Node
Agent Transfer
Node Connections
Node Connections Setup
Sub-Intent Scoping
Entity Types
Entity Rules
User Prompts or Messages
Voice Call Properties
Knowledge AI
Introduction
Knowledge Graph
Introduction
Terminology
Build a Knowledge Graph
Manage FAQs
Knowledge Extraction
Import or Export Knowledge Graph
Prepare Data for Import
Importing Knowledge Graph
Exporting Knowledge Graph
Auto-Generate Knowledge Graph
Knowledge Graph Analysis
Answer from Documents
Alert Tasks
Small Talk
Digital Skills
Overview
Digital Forms
Digital Views
Introduction
Widgets
Panels
Session and Context Variables
Context Object
Intent Discovery
Train
NLP Optimization
ML Engine
Overview
Model Validation
FM Engine
KG Engine
Traits Engine
Ranking and Resolver
Training Validations
NLP Configurations
NLP Guidelines
LLM and Generative AI
Introduction
LLM Integration
Kore.ai XO GPT Module
Prompts & Requests Library
Co-Pilot Features
Dynamic Conversations Features
Intelligence
Introduction
Event Handlers
Contextual Memory
Contextual Intents
Interruption Management
Multi-intent Detection
Amending Entities
Default Conversations
Conversation Driven Dialog Builder
Sentinment Management
Tone Analysis
Default Standard Responses
Ignore Words & Field Memory
Test & Debug
Overview
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
Conversation Testing Overview
Create a Test Suite
Test Editor
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Test Case Execution Summary
Glossary
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NLP Health
Flow Health
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Actions Overview
Asana
Configure
Templates
Azure OpenAI
Configure
Templates
BambooHR
Configure
Templates
Bitly
Configure
Templates
Confluence
Configure
Templates
DHL
Configure
Templates
Freshdesk
Configure
Templates
Freshservice
Configure
Templates
Google Maps
Configure
Templates
Here
Configure
Templates
HubSpot
Configure
Templates
JIRA
Configure
Templates
Microsoft Graph
Configure
Templates
Open AI
Configure
Templates
Salesforce
Configure
Templates
ServiceNow
Configure
Templates
Stripe
Configure
Templates
Shopify
Configure
Templates
Twilio
Configure
Templates
Zendesk
Configure
Templates
Agents
Agent Transfer Overview
Custom (BotKit)
Drift
Genesys
Intercom
NiceInContact
NiceInContact(User Hub)
Salesforce
ServiceNow
Configure Tokyo and Lower versions
Configure Utah and Higher versions
Unblu
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Overview
Dialogflow Engine
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Introduction
Dashboard Filters
Overview Dashboard
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Introduction
Custom Meta Tags
Create Custom Dashboard
Create Custom Dashboard Filters
LLM and Generative AI Logs
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Conversations History
Conversation Flows
Conversation Insights
Feedback Analytics
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Universal Bots
Introduction
Universal Bot Definition
Universal Bot Creation
Training a Universal Bot
Universal Bot Customizations
Enabling Languages
Store
Manage Assistant
Team Collaboration
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Overview
Usage Plans
Templates
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Invoices
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Conversation Sessions
Multilingual Virtual Assistants
Get Started
Supported Components & Features
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Manage Translation Services
Multiingual Virtual Assistant Behavior
Feedback Survey
Masking PII Details
Variables
Collections
IVR Settings
General Settings
Assistant Management
Manage Namespace
Data
Overview
Data Table
Table Views
App Definitions
Data as Service
HOW TOs
Build a Travel Planning Assistant
Travel Assistant Overview
Create a Travel Virtual Assistant
Design Conversation Skills
Create an ‘Update Booking’ Task
Create a Change Flight Task
Build a Knowledge Graph
Schedule a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Train the Assistant
Use Traits
Use Patterns
Manage Context Switching
Deploy the Assistant
Use Bot Functions
Use Content Variables
Use Global Variables
Use Web SDK
Build a Banking Assistant
Design Conversation Skills
Create a Sample Banking Assistant
Create a Transfer Funds Task
Create a Update Balance Task
Create a Knowledge Graph
Set Up a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Add Data to Data Tables
Update Data in Data Tables
Add Data from Digital Forms
Train the Assistant
Composite Entities
Use Traits
Use Patterns for Intents & Entities
Manage Context Switching
Deploy the Assistant
Configure an Agent Transfer
Use Assistant Functions
Use Content Variables
Use Global Variables
Intent Scoping using Group Node
Analyze the Assistant
Create a Custom Dashboard
Use Custom Meta Tags in Filters
Migrate External Bots
Google Dialogflow Bot
APIs & SDKs
API Reference
API Introduction
Rate Limits
API List
koreUtil Libraries
SDK Reference
SDK Introduction
Web SDK
How the Web SDK Works
SDK Security
SDK Registration
Web Socket Connect and RTM
Tutorials
Widget SDK Tutorial
Web SDK Tutorial
BotKit SDK
BotKit SDK Deployment Guide
Installing the BotKit SDK
Using the BotKit SDK
SDK Events
SDK Functions
Tutorials
BotKit - Blue Prism
BotKit - Flight Search Sample VA
BotKit - Agent Transfer
  1. Home
  2. Docs
  3. Virtual Assistants
  4. Builder
  5. Creation
  6. Develop – Standard Bot

Develop – Standard Bot

Standard Bots are the most common type of bots. With these bots, you can create dialog, alert, action, information, and knowledge task, as well as flows that map one task to another.

This topic describes the basic settings required to create a new Standard Bot.

Create a Standard Bot

  1. Log in to the Bot Builder platform with valid credentials.
  2. On the landing page, click New Bot on the top-right.
  3. From the drop-down, select the Start from Scratch option.
  4. On the Create New Bot window, enter a name in the Bot Name field.
  5. Select English from the Default Bot Language drop-down list and Standard Bot from the Bot Type drop-down list.
  6. Click the Advanced Settings to enable the NLU Language options for User Input Translation and Runtime Response Translation engines. To learn how to manage NLU languages, read the Managing Languages for Multilingual Virtual Assistants article.
  7. Click Create.

    The Bot saved successfully message appears and the bot opens in the Bot Builder with the Storyboard page.

You can import a template that suits your needs from our Store and tailor it to suit your needs, see here for more.

Define Bot Tasks

After creating the Standard Bot, you are ready to define how your bot works. You can define your bot by starting with the bot tasks.

Define one or more tasks or flows for your bot in one of the following methods:

  • On the Bot Summary page, click + New Task on the Tasks widget. This would allow you to add a Dialog or an Alert task.
  • In addition to the above-mentioned tasks, from the Conversational Skills menu on the left navigation, you can select a skill to be added by clicking the Create button on the corresponding skills page.

Skills are bot capabilities that help in catering to the end-user needs. These include dialog and alert tasks such as book a flight, get weather alerts, or respond to user queries (Knowledge Graph) or even engage the user in Small Talk.

You can define the following skills from Kore.ai Bot Builder:

  • Storyboard – Design engaging conversations as well as simplifies the communication between business users, conversation designers, language experts, and bot developers.
  • Dialog Tasks – Consists of multiple intents, sub-intents, and component nodes to conduct a complex conversational flow between a user and the bot.
  • Alert Tasks – Monitors a web service for events and sends a notification message to the user when the event occurs. You can use this task type for scheduled polling or near real-time notification using webhooks.
  • Knowledge Graph – Turns static FAQ pages into an intelligent, personalized conversational experience. Build a hierarchy of crucial terms, add questions to the right nodes in the hierarchy, and leave the responding to users task to the bot, thus enabling your support staff to engage with more complex tasks.
  • Small Talk – Engage the end-users in casual conversations that help socialize your bot and improves the recall rates.

Further Steps

  • A chatbot’s ability to consistently understand and interact with a user is dictated by the robustness of the Natural Language Processing (NLP) that powers the conversation. Kore.ai’s platform uses a unique Natural Language Processing strategy, combining Fundamental Meaning and Machine Learning engines for maximum conversation accuracy with little upfront training. Know more from here.
  • On any tab, you can test your bot tasks in a messaging window as long as the bot has at least one task in Configured or Published status. To test, click the Talk to Bot icon at the bottom right of the Bot Builder. For more information, refer to Talk to Your Bot.
  • Add delivery channels to your bot so that end-users can access and interact with your bot when it is deployed. For more information, refer to Adding channels to your bot.
  • Developers can initiate a publish request to administrators to review, approve, or disapprove new or upgraded bots and tasks before deployment. Developers also have the option to publish a bot to the public bots store by contacting Kore.ai Support to initiate a review and approval process. For more information, refer to Publishing Tasks.
  • After publishing the bot, open the Analyze page for insights into your bot’s performance at identifying and executing tasks. It lets you view the necessary information of user utterances that matched and did not match with intents. Also, it shows the tasks that failed to execute after matching an intent as well as the backend performance of the script and service nodes. For more information, refer to Analyzing your Bot.

Develop – Standard Bot

Standard Bots are the most common type of bots. With these bots, you can create dialog, alert, action, information, and knowledge task, as well as flows that map one task to another.

This topic describes the basic settings required to create a new Standard Bot.

Create a Standard Bot

  1. Log in to the Bot Builder platform with valid credentials.
  2. On the landing page, click New Bot on the top-right.
  3. From the drop-down, select the Start from Scratch option.
  4. On the Create New Bot window, enter a name in the Bot Name field.
  5. Select English from the Default Bot Language drop-down list and Standard Bot from the Bot Type drop-down list.
  6. Click the Advanced Settings to enable the NLU Language options for User Input Translation and Runtime Response Translation engines. To learn how to manage NLU languages, read the Managing Languages for Multilingual Virtual Assistants article.
  7. Click Create.

    The Bot saved successfully message appears and the bot opens in the Bot Builder with the Storyboard page.

You can import a template that suits your needs from our Store and tailor it to suit your needs, see here for more.

Define Bot Tasks

After creating the Standard Bot, you are ready to define how your bot works. You can define your bot by starting with the bot tasks.

Define one or more tasks or flows for your bot in one of the following methods:

  • On the Bot Summary page, click + New Task on the Tasks widget. This would allow you to add a Dialog or an Alert task.
  • In addition to the above-mentioned tasks, from the Conversational Skills menu on the left navigation, you can select a skill to be added by clicking the Create button on the corresponding skills page.

Skills are bot capabilities that help in catering to the end-user needs. These include dialog and alert tasks such as book a flight, get weather alerts, or respond to user queries (Knowledge Graph) or even engage the user in Small Talk.

You can define the following skills from Kore.ai Bot Builder:

  • Storyboard – Design engaging conversations as well as simplifies the communication between business users, conversation designers, language experts, and bot developers.
  • Dialog Tasks – Consists of multiple intents, sub-intents, and component nodes to conduct a complex conversational flow between a user and the bot.
  • Alert Tasks – Monitors a web service for events and sends a notification message to the user when the event occurs. You can use this task type for scheduled polling or near real-time notification using webhooks.
  • Knowledge Graph – Turns static FAQ pages into an intelligent, personalized conversational experience. Build a hierarchy of crucial terms, add questions to the right nodes in the hierarchy, and leave the responding to users task to the bot, thus enabling your support staff to engage with more complex tasks.
  • Small Talk – Engage the end-users in casual conversations that help socialize your bot and improves the recall rates.

Further Steps

  • A chatbot’s ability to consistently understand and interact with a user is dictated by the robustness of the Natural Language Processing (NLP) that powers the conversation. Kore.ai’s platform uses a unique Natural Language Processing strategy, combining Fundamental Meaning and Machine Learning engines for maximum conversation accuracy with little upfront training. Know more from here.
  • On any tab, you can test your bot tasks in a messaging window as long as the bot has at least one task in Configured or Published status. To test, click the Talk to Bot icon at the bottom right of the Bot Builder. For more information, refer to Talk to Your Bot.
  • Add delivery channels to your bot so that end-users can access and interact with your bot when it is deployed. For more information, refer to Adding channels to your bot.
  • Developers can initiate a publish request to administrators to review, approve, or disapprove new or upgraded bots and tasks before deployment. Developers also have the option to publish a bot to the public bots store by contacting Kore.ai Support to initiate a review and approval process. For more information, refer to Publishing Tasks.
  • After publishing the bot, open the Analyze page for insights into your bot’s performance at identifying and executing tasks. It lets you view the necessary information of user utterances that matched and did not match with intents. Also, it shows the tasks that failed to execute after matching an intent as well as the backend performance of the script and service nodes. For more information, refer to Analyzing your Bot.
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