Chatbot Overview
Conversational Bots
Intents & Entities
Intelligent Bots
Kore.ai's Approach
Kore.ai Conversational Platform
Bot Concepts and Terminology
Natural Language Processing (NLP)
Bot Types
Bot Tasks
Starting with Kore.ai Platform
How to Access Bot Builder
Working with Kore.ai Bot Builder
Building your first Bot
Getting Started with Building Bots
Using the Dialog Builder Tool
Creating a Simple Bot
Release Notes
Latest Updates
Older Releases
Bot Builder
Creating a Bot
Design
Develop
Dialog Task
Working with User Intent & Dialog Node
Working with Entity Node
Supported Entity Types
Working with Composite Entities
Supported Time Zones
Supported Colors
Supported Company Names
Working with Message & Confirmation Nodes
Working with Service Node
Implementing Custom Authentication
Enabling 2-way SSL for Service nodes
Working with Script Node
Working with Agent Transfer Node
Working with WebHook Node
Defining Connections & Transitions
Managing Dialogs
Prompt Editor
Action & Information Task
Working with Action Tasks
Working with Information Tasks
Establishing Flows
Alert Tasks
Working with Alert Tasks
Managing Ignore Words and Field Memory
Knowledge Tasks
Building Knowledge Graph
Importing and Exporting Bot Ontology
Knowledge Extraction
Natural Language
Overview
Machine Learning
ML Model
Fundamental Meaning
Knowledge Graph Training
Traits
Ranking and Resolver
NLP Detection
NLP Settings and Guidelines
Bot Intelligence
Overview
Dialog Management
Sub-Intents and Follow-Up Intents
Amend Entity
Multi-Intent Detection
Context Management
Session and Context Variables
Context Object
Sentiment Management
Tone Analysis
Sentiment Management
Default Conversations
Default Standard Responses
Channel Enablement
Test & Debug
Talking to Bot
Utterance Testing
Batch Testing
Recording Conversations
Publishing your Bot
Analyzing your Bot
Overview
Dashboard
Conversation Flows
Bot Metrics
Advanced Topics
Bot Authorization
Language Management
Collaborative Development
IVR Integration
Universal Bots
Defining
Creating
Customizing
Enabling Languages
Smart Bots
Defining
Sample Bots
Github
Asana
Travel Planning
Flight Search
Event Based Bot Actions
Bot Settings
Bot Functions
General Settings
PII Settings
Customizing Error Messages
Bot Management
Using Bot Variables
API Guide
API Overview
API List
SDKs
SDK Overview
SDK Configuration
SDK Security
SDK App Registration
Kore.ai Web SDK Tutorial
Message Formatting and Templates
Mobile SDK Push Notification
Using the BotKit SDK
Installing the BotKit SDK
Events for the BotKit SDK
Functions for the BotKit SDK
BotKit SDK Tutorial – Agent Transfer
BotKit SDK Tutorial – Flight Search Sample Bot
Using an External NLP Engine
Web Socket Connect & RTM
Bot Administration
Bots Admin Console
User Management
Managing Users
Managing Groups
Managing Role
Bots Management
Enrollment
Inviting Users
Sending Bulk Invites to Enroll Users
Importing Users and User Data
Synchronizing Users from Active Directory
Security & Compliance
Overview
Using Single Sign-On
Cloud Connector
Analytics
Billing
Bot Store
Overview
Creating a Kore.ai Bot Account
Adding a Kore.ai Bot
Choosing a Channel for a Bot
Interacting with a Kore.ai Bot
Setting Up Web Service Alerts
Setting Up RSS Alerts
Setting Up the Kore.ai Webhook Bot
Custom Kore.ai Bots
Bots for your Customers FAQs
Bots for your Workforce FAQs
Adding Bots
Contacting Kore.ai Support
Setting Up Filters
Bot Store Settings
  1. Home
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  3. Bots
  4. Bot Building
  5. Creation
  6. Develop – Standard Bot

Develop – Standard Bot

Standard Bots are the most common type of bots. Using these, 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.

Step 1: Create a Standard Bot

  1. Log in to the Bot Builder and on the top right corner of the landing page, click + New Bot.
  2. On the Create Bot page, enter the Bot name, select Default Bot Language, select the Bot Type and then click Create:

    The Bot created successfully message appears and the Bot opens in the Bot Builder.

Step 2: Define Bot Tasks

Once you have created a Standard Bot, you are ready to define how your bot will work. 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 two ways:

  • Using the + New Task button from the Tasks widget on the Bot Summary page.
  • From the Bot Tasks tab by hovering over the required task and clicking the + icon.

Tasks are what your Bot does for the end-user, such as Book a flight, Get Weather Information, or Cancel a Ticket.

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

Note that the Knowledge Task and Flows are available from the Bots Tasks page

  • Dialog Tasks – Consists of multiple intents and 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 then 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.
  • Information Tasks – Provides a report of data by asking the user for input parameters and then executing a web service call. The formatted data is presented to the user as a link to a report that a user can click to display the data, for example, Show my tickets, or 3-day Weather Forecast.
  • Action Tasks – Queries a user on demand for input parameters, and then executes a web service call along with a confirmation message, for example, Create New Ticket, or Get Weather for this Location.
  • Knowledge Graph – Turns static FAQ pages into an intelligent, personalized conversational experience. Build an ontology of crucial terms, add questions to the right nodes in the hierarchy and leave the task of responding to users to the bot, thus enabling your Support staff to engage with more complex tasks.
  • Creating Flows – Associates one task to another task of the same or different Bot. For example, flow for a Twitter tweet notification could be to Create New Follower.

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 if you click the Talk to Bot icon located on the lower rightmost side in Bot Builder. For more information, see Talk to Your Bot.
  • Add delivery channels to your bot that end-users can use to access and interact with your bot when it is deployed. For more information, read Adding channels to your bot.
  • Developers can initiate a publish request for 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, see 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 necessary information for user utterances that matched and didn’t 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, see Analyzing your Bot.
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