Crafter.ai - AI Agents Platform
Video Tutorials

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Crafter.ai

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

All tutorials

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Tutorial preview: Crafter.ai Platform Overview
1

Crafter.ai Platform Overview

Crafter.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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Tutorial preview: Workspace: Organize Your AI Agents
2

Workspace: Organize Your AI Agents

The 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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Tutorial preview: RAG: Retrieval-Augmented Generation with Your Documents
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RAG: Retrieval-Augmented Generation with Your Documents

With 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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Tutorial preview: Q&A: Questions and Answers for Your Chatbot
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Q&A: Questions and Answers for Your Chatbot

The 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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Tutorial preview: Analytics and Conversation Transcripts
5

Analytics and Conversation Transcripts

Crafter.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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Tutorial preview: Flow Designer: Build Visual Conversational Flows
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Flow Designer: Build Visual Conversational Flows

The 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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Tutorial preview: MCP Tools: Connect Your Chatbot to External Systems
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MCP Tools: Connect Your Chatbot to External Systems

MCP 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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Tutorial preview: Webhook: Integrate Your Chatbot with External APIs
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Webhook: Integrate Your Chatbot with External APIs

With 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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Tutorial preview: Connectors: One Bot Across All Channels with Shared KB
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Connectors: One Bot Across All Channels with Shared KB

With 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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Tutorial preview: Prompting: Write Effective Instructions for the LLM
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Prompting: Write Effective Instructions for the LLM

Prompting 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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Tutorial preview: Settings: Configure Bot, Data Retention and Tool Limits
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Settings: Configure Bot, Data Retention and Tool Limits

In 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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Tutorial preview: Chatroom: Customize Widget Look and Start-Intent
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Chatroom: Customize Widget Look and Start-Intent

In 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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Tutorial preview: Deploy: Publish via Web Widget and Manage Snapshots
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Deploy: Publish via Web Widget and Manage Snapshots

In 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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