13 step-by-step video tutorials for every level: from the platform overview to advanced configuration. Build AI Agents and chatbots without writing code.
13
Video tutorials
0
Lines of code
~1h
Of training
Click on a video to play it directly below.
1Crafter.ai is a no-code SaaS platform for building conversational AI Agents and chatbots. In this introductory video you'll discover how the interface is organized and which main modules are available to you.
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2The Workspace is the starting point of the platform: from here you create, organize and manage all your AI Agents. Learn how to structure projects, environments and collaborators to work efficiently on multiple chatbots in parallel.
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3With Crafter.ai's RAG module you can upload your documents (PDF, Word, CSV, JSON) and turn them into the AI Agent's knowledge base. The chatbot uses Retrieval-Augmented Generation to deliver accurate, context-aware answers grounded in your sources.
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4The Q&A module lets you teach your chatbot precise answers for recurring questions. Ideal for FAQs, company policies and content that requires a deterministic, curated response, without relying solely on the generative model.
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5Crafter.ai's analytics dashboard shows you metrics, conversation trends and chatbot KPIs. You can browse full transcripts, filter them by date or channel, and export CSV reports for deeper analysis.
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6The Flow Designer is the visual editor for building conversational flows with drag-and-drop. Define guided paths, conditions and chatbot actions graphically, without writing a single line of code.
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7MCP Tools (Model Context Protocol) let your AI Agent invoke external tools and services in real time: database queries, API calls, access to enterprise systems. The extra gear for truly operational AI agents.
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8With Crafter.ai webhooks you can send and receive data from any external API directly during the conversation. Perfect for integrating CRM, ticketing systems, e-commerce or any HTTP service.
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9With Connectors you distribute the same bot across multiple channels — Web Widget, WhatsApp and others — without duplicating anything: knowledge base, flows, system prompt and tools are automatically shared across all channels. The Web Widget is the default channel already active on every bot and integrates into any web page in just a few clicks. Choose between Proactive Mode (the bot automatically sends the welcome message) and Reactive Mode (replies only when the user writes).
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10Prompting is the art of instructing the Large Language Model that powers your AI Agent. In this tutorial you'll see best practices, system prompt structure, tone of voice and strategies to obtain consistent, on-brand answers.
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11In the Settings section you customize your bot's base behavior: change the bot's name, choose the default reply language, configure the retention period for conversation data and set tool invocation limits. A higher tool limit lets the bot handle more complex processes (functions, APIs, webhooks) but impacts credit consumption: striking the right balance is key to optimize performance without waste.
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12In the Chatroom you customize the chatbot widget look in real time by applying your brand guidelines (colors, logo, fonts) and you configure the start-intent — the welcome message the bot uses to greet users. All previewed live, with no CSS needed.
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13In the Deploy section you copy the Web Widget embedding script and paste it into your website's head: the chatbot appears automatically in the bottom-right corner. You use snapshots — point-in-time captures of the bot's state — to publish the current version in production, monitor releases and roll back safely if needed. This way development changes never reach production by mistake.
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