This n8n workflow automates the process of generating, managing, and uploading YouTube Shorts based on a system of riddles and themed audio tracks. It begins with a scheduled trigger, which initiates a series of steps to generate engaging short videos using AI models. The workflow fetches audio tracks from a Google Sheet to ensure proper rotation, generates riddles using an AI agent, and transforms this data into suitable formats for embedding and indexing. It utilizes OpenAI and Anthropic models for embeddings and language processing, respectively, enabling the creation of contextual riddles and ensuring relevance. The riddles are stored and retrieved from a vector database (Pinecone) to facilitate referencing previous content. After preparing the video content, it renders the Shorts, uploads them to YouTube, and sends notification emails with the video link. The system also updates audio track usage status and manages video titles dynamically. This workflow is ideal for content creators aiming to automate short video production with AI assistance, especially for themed content like riddles or educational snippets.
Automated YouTube Shorts Creation & Upload Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStorePinecone, code, gmail, googleSheets, httpRequest, if, merge, scheduleTrigger, stickyNote, wait |
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