Explore the key concepts of ChatBotKit, a state-of-the-art platform for developing conversational AI systems. Learn about backstories, models, stores, bots, datasets, skillsets, conversations, and integrations. Unleash the full potential of ChatBotKit to design intuitive and impactful chatbots.

Introduction

Learn about the importance of backstories in chatbot development and how they contribute to creating engaging and personalized experiences for users. Discover how multilingual chatbots can benefit from customized backstories and how conversation preempting can set the tone for conversations.

Backstories

Explore ChatBotKit's diverse range of conversational AI models, including OpenAI's latest innovations and custom solutions.

Models

Explore the capabilities of the reranking algorithm in ChatBotKit, designed to enhance the accuracy and relevance of AI responses by employing a sophisticated second-level sorting mechanism for retrieved records.

Rerankers

Learn about ChatBotKit's stores, an abstract storage class for efficient and organized storage and retrieval of data. Choose between Ada Sprout and Ada Loom depending on the size of your dataset.

Stores

Discover the essential guide to creating customized bots using ChatBotKit's conversational AI platform. Learn how to design, deploy, and integrate bots tailored for various use cases while ensuring privacy and moderation for safe interactions.

Bots

Overview of what datasets are and how they can be used in chatbot conversations. Learn how to add contextual information to your chatbot.

Datasets

Overview of how chatbot Skillsets and Skillset instructions work. Learn how to customize your chatbot's abilities and improve its performance.

Skillsets

Overview of what conversations are and how they work. Learn how to build build your own conversation flow using the ChatBotKit API.

Conversations

This page details the concept of AI-generated tasks tailored to individual contacts. It highlights how tasks are created by AI agents, ensuring they are actionable and specific to each contact, enabling personalized workflows and effective management of interactions.

Tasks

Learn how to create and manage contacts in ChatBotKit, a powerful tool for streamlining communication and data management.

Contacts

ChatBotKit Spaces provide project-like environments where humans and AI agents can collaborate by sharing and organizing files to work toward common goals.

Spaces

Learn how to use the Memory System in ChatBotKit to enable AI agents to store, retrieve, and leverage contextual information for personalized conversations.

Memories

ChatBotKit Files is a core feature that provides centralized file management, integration with datasets, and asset storage for widgets.

Files

Secrets provides a secure environment for storing sensitive information such as tokens, keys, and credentials used across the ChatBotKit services.

Secrets

Explore the power of Blueprints, a visual interface designed to help you manage your AI agent resources effectively. Understand connections, simplify complexity, and build multi-agent systems with ease using our comprehensive command center within ChatBotKit.

Blueprints

Explore ChatBotKit Portals, a powerful feature that allows you to configure and package internal applications into independent websites. Create tailored experiences for your users with custom domains and permissions, enhancing their interaction with your AI applications.

Portals

ChatBotKit offers a range of integrations including Widget, Slack, Discord, WhatsApp, Sitemap, Notion, Support, Extract, and Zapier. Deploy and manage chatbots efficiently across platforms for an optimized user experience.

Integrations

Learn how ChatBotKit tracks and measures your service usage through metrics like tokens, conversations, and messages. 

Usage

Overview of the analytics dashboard and how to interpret your ChatBotKit workspace performance metrics. Learn about contacts, conversations, messages, and user satisfaction tracking.

Analytics

Learn how to integrate ChatBotKit's widget onto your website to enhance user experience. Easily customize the widget to fit your needs with various options.

Widget

Learn how to integrate ChatBotKit with Slack and deploy chatbots on the platform. This guide provides step-by-step instructions, including how to interact with your ChatBotKit Slack bot, advanced setup details, troubleshooting tips, and more.

Slack

Learn how to easily integrate ChatBotKit with Discord and access a wide range of conversational AI functionalities directly within the popular messaging and collaboration platform for gamers and communities. Follow our step-by-step guide to get started.

Discord

Learn how to easily integrate your chatbot with WhatsApp using ChatBotKit. Our step-by-step guide will show you how to set up your integration and connect with your audience on WhatsApp.

WhatsApp

Integrate ChatBotKit with your Facebook Messenger to deploy powerful conversational AI and engage effectively with your Messenger audience.

Messenger

Integrate ChatBotKit with your Telegram bot to create powerful conversational AI chatbots. Engage effectively with your Telegram audience. Follow the steps to set up your bot on Telegram and integrate it with ChatBotKit.

Telegram

ChatBotKit's Email Integration allows users to set up a dedicated email inbox for their AI chatbot, enhancing its capabilities to manage queries and support tickets.

Email

Learn how to use ChatBotKit Trigger Integration to seamlessly send events and information to your bots, enabling powerful workflows and enhanced performance. 

Trigger

Learn how to import a website's information into your dataset with ChatBotKit's Sitemap feature. Automatically summarise long pages using AI, and access important information easily from your chatbot.

Sitemap

Learn how to integrate ChatBotKit with Notion and deploy chatbots on the platform. This guide provides instructions set up and interact with your Notion bot.

Notion

Learn how to integrate your AI chatbot with support systems such as Zendesk, Intercom, and email groups using ChatBotKit. Automatically extract customer details and provide real-time assistance to customers.

Support

Learn how to use the Data Extraction integration in ChatBotKit to extract contextually relevant information from conversations. This integration facilitates efficient data usage in customer support, transcriptions, and data analytics, empowering AI chatbots to autonomously interact with users and enrich conversation metadata.

Extract

The ChatBotKit Zapier integration, which allows you to automate processes and improve efficiency by connecting ChatBotKit with other applications. Learn about the key benefits, getting started, and available actions to streamline your workflows and enhance your interactions with customers.

Zapier

Learn how to set up and use webhooks within ChatBotKit to automate workflows and integrate different services. This section covers step-by-step setup, event selection, and validating incoming webhook requests using the X-Hub-Signature header.

Webhooks

Overview of the ChatBotKit Primers. Learn how to create conversational AI chatbots using ChatBotKit API and SDKs.

Primers

The ChatBotKit API is a powerful tool for developers looking to integrate conversational AI functionality into their applications. This documentation provides a comprehensive guide to understanding and utilizing the various endpoints and features offered by the API.

ChatBotKit Node SDK allows developers to build conversational AI interfaces and chatbots. Read on to learn how to install and use the SDK, along with its authentication, pagination, and error handling features.

Node SDK

The Widget SDK allows developers to easily initialize and configure ChatBotKit AI Widgets. This guide provides detailed instructions for embedding, utilizing the global object, and managing widget properties and events.

Widget SDK

Automatically manage conversation lifecycles with retention policies that set expiration dates for idle conversations. Learn how to create and configure policies through the dashboard interface.

Policies

Learn about the advanced content moderation features provided by ChatBotKit to ensure the safety and integrity of bot-user interactions. Enable content scanning, language detection, and automatic refusal to protect against harmful and inappropriate content.

Moderation

The following document outlines the privacy features of ChatBotKit. Learn about ChatBotKit’s encryption, anonymity and entity handling.

Privacy

Explore various aspects of security, including compliance, encryption, privacy, and more. Discover how ChatBotKit ensures the security of your data and protects your privacy. Learn about security testing, compliance protocols, privacy features, encryption standards, monitoring systems, incident response, authentication and authorization, data residency, data retention, and continuous improvement.

Security

Overview of ChatBotKit's event monitoring capabilities for tracking platform activities and analyzing usage patterns.

Events

Overview of ChatBotKit's audit trail capabilities for tracking changes and maintaining compliance records.

Audit

Overview of ChatBotKit Playgrounds. Learn how to use Playgrounds to build advanced conversation AI chatbots.

Playgrounds

Discover the current ChatBotKit Apps ecosystem featuring Chat, Connect, and Inbox applications designed to enhance conversational AI capabilities. Learn how these specialized applications provide tailored solutions for multi-agent conversations, service integrations, and message management.

Apps

Learn how to create and manage teams in ChatBotKit for basic collaboration and organization.

Teams

Learn about the Partner API offered by ChatBotKit, a powerful tool for developing Software as a Service (SaaS) solutions. Discover how the Partner API simplifies SaaS development by providing unique sub-accounts with customizable configurations and restrictions.

Partner

Join ChatBotKit's affiliate program and earn a 20% commission on referrals for the first 12 months. Access marketing materials, support, and promote a reliable chatbot service.

Affiliates

This glossary provides definitions for key terms related to conversational AI, including conversational AI, AI bots, chatbots, RAG, AI, machine learning, deep learning, GPT, LLM, transformer models, intent recognition, entity recognition, dialogue management, and sentiment analysis and more.

Glossary

Explore ChatBotKit's billing system, designed for transparency and predictability. Understand credit tokens, subscription plans, and how to optimize your costs while using AI models effectively. Tailored solutions available for enterprises seeking unlimited agreements.

Billing

Discover flexible deployment options with ChatBotKit, offering cloud and on-premises solutions tailored for your organization's needs. This guide covers architecture, security, and implementation processes to ensure effective conversational AI integration.

Deployments

Discover Chatbotkit's flexible partnership program for resellers, featuring both direct and white-label options. Benefit from tailored onboarding, adaptable contract terms, and comprehensive technical support to enhance your business model.

Partnership


Tasks are specific **instructions generated by [AI agents](/basics/what-is-ai-agent)** for themselves, tailored to individual **contacts**.


**Key Features:**

- **Contact-Specific:** Each task is linked directly to a particular contact, ensuring personalized actions.
- **Agent-Generated:** [AI agents](/basics/what-is-ai-agent) create tasks dynamically based on interactions or predefined logic.
- **Actionable Instructions:** They represent discrete actions or follow-ups the agent needs to perform related to that contact.

Essentially, Tasks allow agents to manage and execute personalized workflows for each contact they interact with.



AI Agents

AI Widgets

AI for Messaging Platforms

AI SDKs

AI Enterprise

Whitelabel Solutions

Examples

Documentation

Tutorials

Changelog

Reflections

Basics

Tasks

Contacts

Spaces

Memories