Tutorials

Learn how to run a ChatBotKit agent inside Buzz by connecting Buzz Agent to ChatBotKit's OpenAI-compatible API. This tutorial covers scoped tokens, agent configuration, channel access, testing, and self-hosted deployment.

A complete, end-to-end guide to standing up an AI agent for a whole organisation without losing control. Build the agent with guardrails baked in, wrap it in usage policies that cap cost automatically, and hand it out through scoped tokens for developers and portals for non-technical teams.

Learn how to build a fully autonomous coding agent on ChatBotKit that owns a GitHub organization, writes and ships code in a sandbox, teaches itself reusable skills, and wakes up on a schedule to make progress against open-ended objectives - no step-by-step handholding required.

Build a more advanced version of "Claude Tag" in Slack using ChatBotKit blueprints - a set of independent specialized @-agents, each its own Slack bot with its own tools and its own access rules. A coding agent with a real shell sandbox, a research agent with its own report library, and an open support agent - on any plan, with any model you choose, including local ones.

Learn how to deploy an isolated AI agent into each customer's own ChatBotKit sub-account using the Terraform Provider. This tutorial covers sub-accounts (partner users), the run_as attribute, provider aliases, and shared vs. bespoke per-customer agents.

Learn how to package a ChatBotKit AI agent as a reusable Terraform module and roll it out consistently across many environments and teams - with workspaces, version pinning, and a CI/CD pipeline.

Turn ChatBotKit's Data Extraction integration into a real-time LLM-as-a-judge that reads an agent's tool activity and extracts operational metrics - records written, error rate, retries, and where failures originate. Built around an agent that manages crmkit CRM, all from a single blueprint.

Learn how to turn conversations into measurable datapoints using ChatBotKit's Data Extraction integration. Define a measure, extract numeric values from every conversation, and use the collected metrics to tell a clear ROI story.

Learn how to build a Twilio voice agent that answers incoming calls, gathers context, and forwards the live call to another phone number using ChatBotKit abilities and blueprints.

Learn how to create and configure an MCPServer integration to expose your ChatBotKit skillsets as Model Context Protocol tools for VSCode. Updated May 2026.

Learn how to deploy your own Cloudflare Sandbox bridge, connect it to ChatBotKit with the Cloudflare Sandbox skills, and give your agent access to your own isolated execution environment.

Learn how to package a ChatBotKit Go agent as a single executable with embedded skills, an obfuscated bot ID, and a narrowly scoped session-minting token.

Learn how to build a voice agent that calls patients to confirm appointments, reschedules through live calendar availability, and handles cancellations - all during the phone call. Vapi handles the calling; ChatBotKit handles every action through MCP.

Learn how to use ChatBotKit to create a help bot that provides detailed answers from a custom knowledge base and integrates with Slack.

Learn how to create a cost-effective vision chatbot that understands images and enhances user interactions.

Learn how to build advanced voice agents by connecting ChatBotKit's powerful skillset and ability system to ElevenLabs Conversational AI via the MCP Server integration. This tutorial covers blueprint creation, MCP server setup, ElevenLabs configuration, and advanced tool call patterns.

Learn how to create scoped API tokens in ChatBotKit that restrict access to specific endpoints. This tutorial covers the allowedRoutes configuration, glob patterns, and practical examples like limiting a token to bot session creation only.

Learn how to build an AI-native company that runs entirely on Telegram using ChatBotKit blueprints. Set up specialized agent departments - an Executive Assistant, Operations Bot, Research Analyst, and Customer Liaison - with privilege separation, shared workspaces, and access restrictions.

Learn how to version your AI bots using ChatBotKit's copy feature, enabling side-by-side testing, rollback, and branching of bot configurations without any downside.

Learn how to build Supabase AI agents using ChatBotKit. This tutorial guides you through logging in, obtaining credentials, creating a blueprint, and testing your bot to query a Supabase database effectively.

Learn how to build an AI agent that can operate across multiple isolated shell environments by using separate skillsets loaded dynamically with the Install Skillset ability.

Learn how to use ChatBotKit's structured fetch ability action to make HTTP requests from your bot. Compare the simple placeholder format, the structured YAML format, and the YAML tags format with typed field tags like !fetch, !string, and !reference.

Learn how to create an intelligent productivity AI agent for Google Calendar using a Telegram chatbot. This tutorial covers blueprint setup, Google Calendar ability templates, per-user OAuth authentication, and interaction steps, enabling users to manage their calendars seamlessly.

Learn how to build your own OpenClaw-style autonomous AI agent with persistent identity, memory, and self-learning capabilities using ChatBotKit blueprints, Spaces, and Telegram.

Learn how to connect Model Context Protocol (MCP) servers to your ChatBotKit AI agent using abilities. This tutorial covers using pre-built MCP abilities, providing custom MCP URLs, handling authentication with secrets, and choosing between shared and personal access modes.

Learn how to set up multiple MCP server integrations with dedicated skillsets, all protected by a shared OAuth connection using Google as the identity provider, ensuring only your organization's members can access your AI tools.

Learn how to add memory to your AI chatbot using ChatBotKit. Discover two approaches - using the dedicated Memory ability for dynamic, conversational recall, or using datasets for structured knowledge.

Learn how to create an AI agent using ChatBotKit that can interact with shells and construct its own tools. This tutorial covers step-by-step instructions to build and test your agent, expand its capabilities, and explore innovative use cases.

Learn why AI agent architecture matters more than any single framework, explore ChatBotKit's reference architectures, understand the core building blocks, and prototype your own custom agent design.

Learn how to build a Google Meet transcription bot using the ChatBotKit platform. This step-by-step tutorial guides you through creating a bot that fetches and summarizes transcripts from your Google Meet recordings, streamlining your workflow and saving time.

Learn how to create an educational AI bot using ChatBotKit that can answer student's questions and provide follow-up questions for a more interactive learning experience.

Learn how to build an AI agent that can read and rewrite its own system prompt at runtime using ChatBotKit blueprints, enabling dynamic persona changes and self-improvement without redeployment.

Learn how to build a simple agentic system using Reddit and Notion. This tutorial guides you through setting up triggers, customizing abilities, and refining your bot's backstory to scout for intriguing ideas effectively.

Learn how to build a simple multi-agent system using ChatBotKit. This tutorial guides you through creating multiple bots with unique skills, enabling collaboration to complete tasks efficiently.

Learn how to interact with the ChatBotKit API in stateless and stateful modes, use streaming responses, and trigger bot workflows programmatically.

Learn how to create a weather forecast bot using ChatBotKit's skillsets. Follow the step-by-step guide to create a bot, skillset, and ability to get live weather information using API requests.

Learning how to choose the best AI model is an essential skill for anyone looking to improve their machine learning capabilities.

Learn how to build a stateless conversational AI chatbot using Next.js and ChatBotKit SDK. This tutorial will guide you through the process of setting up a Next.js project, creating an API endpoint, and designing a chat user interface.

Learn how to prevent AI model hallucinations with better prompting, choosing the right model, and modifying model parameters. Discover the ChatBotKit Situation Playground and its practical applications.

Learn how to use ChatBotKit's Conversation AI technology with Zapier integration to automatically answer incoming Zendesk support requests. This tutorial explains how to create a ChatBotKit dataset and integrate it with Zapier to automate tasks between different apps. By using ChatBotKit to respond to customer inquiries, businesses can improve customer satisfaction and save time and resources for customer support teams.

Learn how to create an autonomous AI agent using the ChatBotKit Go SDK. Build agents that execute tools, handle multi-step tasks, and give you full control over each iteration-all with minimal code and dependencies.

Learn how to integrate ChatBotKit with Slack in this step-by-step tutorial. Follow along to create your Slack Bot Integration, set up your bot on Slack, and test it out. With ChatBotKit integrated with Slack, you can use natural language processing and AI to automate tasks and respond to user inquiries.

Learn how to create a personalized content creation chatbot using ChatBotKit in this step-by-step tutorial. Use datasets and relevant documents, connect to a website to train the chatbot and specify responses and reactions based on user input in natural language. Test and integrate the final product with your website or social media platforms.

Learn how to build a secure, personal AI automation agent similar to Moltbot using ChatBotKit's Blueprint Designer, shell environments, Spaces for file storage, scheduled tasks, and OAuth authentication.

Learn how to implement channel-based function calling using the dispatch() method for background AI conversations. This tutorial covers static results, channel-based results, and handling function execution asynchronously.

Learn how to implement channel-based function calling using the complete().stream() method for inline conversation execution. This tutorial covers real-time event handling and function execution in interactive chat scenarios.

Learn how to implement pure function calling where the caller has full control over function execution. This tutorial covers manual conversation loops, activity messages, and building complex workflows with external function handling.

Learn how to use the ChatBotKit Terraform Provider to define and deploy AI agents as infrastructure as code. This tutorial covers setting up the provider, creating bots with datasets and skillsets, and deploying integrations.

Learn how to perform progressive data extraction at multiple stages during conversation processing using ChatBotKit's complete API, enabling real-time structured data capture beyond traditional end-of-conversation extraction.

Learn about ChatBotKit's built-in privacy features and GDPR compliance. Our platform is designed to protect data and maintain end-user anonymity. Contact us if you have any questions or concerns.

Learn how to create a question/answer chatbot from your PDF or DOCX document using ChatBotKit. Follow these simple methods and start chatting with your chatbot today.

Learn how to automatically create dataset records in ChatBotKit from Google Drive using Zapier. This tutorial will guide you through the process of setting up the integration, which can save you time and increase productivity. With this integration, new files added to your Google Drive folder will be automatically imported into your ChatBotKit dataset. Eliminate the need for manual data entry and ensure that your data is always up-to-date and accurate.

Learn how to embed multiple chat widgets on the same page using the widget iFrame. This tutorial covers how to pass a different chat session for each widget and the recommended use of randomly generated session IDs.

Learn how to get started with ChatBotKit, a conversational AI platform that allows you to create chatbots without coding. Discover the key components of a bot, including the bot instance, datasets, and integrations, and how to combine them to create your own chatbot.

Learn how to easily import your CSV data into ChatBotKit datasets and train your chatbot to generate content specific to your domain and audience.

Learn how to integrate ChatBotKit with Github via Zapier to automatically respond to new issues created on Github with the help of ChatBotKit Conversation Interaction action. This tutorial will guide you through the process of connecting your Github account with Zapier and your ChatBotKit account to create a chatbot that responds to common problems. With this integration, your chatbot will be able to provide additional help whenever a new issue is created on Github. No coding skills required!

Learn how to gain valuable insights about your customers by observing recorded conversations with your chatbot using ChatBotKit. Analyze common themes and questions to improve your chatbot's responses and identify areas for business improvement.

This tutorial provides step-by-step instructions on how to use the ChatBotKit Notion integration to synchronize Notion pages with datasets. By doing so, you can train your chatbot with the data from the Notion pages, which can improve its performance. The tutorial covers creating a token and sharing content with the custom Notion integration, creating a new dataset or using an existing one, creating a new Notion importer, and pressing the sync button to start the synchronization process. By the end of this tutorial, you will be able to take advantage of this feature and improve your chatbot's performance.

Learn how to write great backstories for conversational AI agents and chatbots. This guide provides tips on defining the tone, providing clear instructions, considering the user's perspective, and keeping it concise.

Learn how to breathe new life into legacy applications by adding AI agents through lightweight ChatBotKit AI Widget integration, enabling modern conversational interfaces without complex rebuilds.

Learn how to set up GraphQL Code Generator with ChatBotKit's GraphQL API in this comprehensive tutorial. Discover the installation process, configuration setup, and best practices for building type-safe applications to efficiently manage your chatbot resources.

This tutorial guides you through building an AI bot that utilizes image processing to diagnose bike issues and facilitate repair bookings. Follow the steps to set up your bot, configure its interaction flow, and integrate it into your website for enhanced customer service.

Learn how to efficiently insert large files into the backstory of your AI model using ChatBotKit's new feature. This tutorial provides step-by-step guidance to enhance your bot's interactions and streamline data management.

Discover how to leverage the dynamic form generation feature in ChatBotKit to collect structured information from users effectively. Enhance your bot's interactions by presenting forms at optimal times during conversations.

Learn how to set up resources in a master account and use them in sub accounts with ChatBotKit. This tutorial guides you through creating bots and skillsets, ensuring efficient integration for your SaaS product.

Explore effective cost optimization strategies for token consumption while using ChatBotKit to build conversational AI agents. Learn how to improve performance, select the right language model, and manage tokens efficiently to balance performance and expenses.

Learn how to integrate ChatBotKit with Zendesk for an efficient customer support system. This tutorial covers email setup, chatbot integration, and ticket management to streamline customer inquiries and enhance support workflows.

Learn how to effectively use ChatBotKit's Data Extraction integration to capture and send data from conversations to third-party endpoints. Follow our step-by-step guide for setup, configuration, and testing.

Learn how to embed the ChatBotKit AI Widget in fullscreen mode using either the Widget SDK or an iframe.

This guide covers setting up notifications, retrieving them dynamically, and managing their display order in your AI Widget integration.

Learn how to integrate the AI Widget with the Ionic Framework effectively. This guide covers embedding the widget using an iframe, managing user experience, and setting client-side functions for enhanced interactivity.

Learn how to integrate the AI Widget into your iOS app using SwiftUI and WebKit. This guide provides step-by-step instructions, including embedding the widget frame and setting up client-side functions for enhanced interactivity.

This tutorial guides you through creating an internal AI Slack bot to automate social media posting, ensuring consistency and moderation in your updates.

Learn how to import and use the ChatBotKit API in Postman with this comprehensive guide. Follow step-by-step instructions for setting up authentication, importing specifications, and making API calls efficiently.

Learn how to effectively use AI Widget Client-side Functions in ChatBotKit. This tutorial covers embedding the widget, defining client-side functions, and enhancing interactivity for a seamless user experience.

Learn how to integrate your ChatBotKit with WhatsApp in this detailed guide, covering setup, configuration, and advanced features for a seamless conversational experience.

Learn how to build free AI tools for your website to attract high-intent customers, drive SEO traffic, and enhance user engagement with this step-by-step guide.

Learn how to integrate the ChatBotKit Widget into your website and assign user contact information for a personalized AI-powered experience.

Learn how to build a Shopify AI bot with distinct abilities like tracking orders and recommending products.

Learn how to embed an AI chatbot to your Shopify Store using the widget iFrame. This tutorial covers how to create a chatbot Widget in ChatBotKit, generating the iFrame and installing it to your Shopify Store

In this tutorial you will learn how to quickly create an AI widget for any website easily using the ChatBotKit AI Widget builder.

Learn how to leverage Google Groups and ChatBotKit to create a cost-effective and efficient customer support system. Follow this tutorial to set up and integrate the two platforms, enabling automated handling of customer inquiries while maintaining high-quality support.

Learn how to train your own ChatGPT with your custom data using ChatBotKit Datasets. Follow step-by-step instructions to create and configure datasets, add files and integrations, and create dataset records. Start building your own conversational AI bot today!

Learn how to utilize the messages feature in the ChatBotKit Widget. Add contextual information at the beginning of the conversation to enhance user experience and improve engagement. Follow our step-by-step guide to create a new widget, embed it into your website, and initialize it with custom messages. Start optimizing your chatbot interactions today!

Learn how to utilize the meta-data feature in the ChatBotKit Widget to tag and track your conversations effectively. Improve user interactions and behavior analysis. Follow the step-by-step guide to create a new website widget, embed it into your website, initialize the widget with meta-data, and use the meta-data for various purposes.

Learn how to embed a ChatBotKit Widget into Notion and enhance the functionality of your shared pages. Follow this step-by-step tutorial to create and embed a chatbot into your Notion workspace.

Learn how to build an interactive form with ChatBotKit Widget API. This tutorial covers embedding the widget, implementing a form, and submitting data to the widget.

Learn how to export conversations using the ChatBotKit Node SDK with this step-by-step tutorial. Improve your chatbot's performance by analyzing user interactions.

This tutorial provides a step-by-step guide on how to create a powerful AI chatbot application using the ChatBotKit SDK and Next.js framework.

Learn how to embed videos in your ChatBotKit Widget using markdown format. Enhance your users' experience and provide engaging and interactive content. Follow our step-by-step guide and examples to get started.

Learn how to show images in ChatBotKit Widget using markdown format. Enhance your bot output and create more engaging and interactive chatbots. Step-by-step guide and examples provided.