This n8n workflow automates the process of creating engaging Twitter threads using AI. It starts with receiving a chat message (triggered by a webhook), then leverages OpenAI’s GPT-4 to generate a series of connected tweets in a conversational tone. The workflow includes a memory buffer to maintain context across messages, ensuring the thread remains coherent and natural. The first tweet is generated using a specific prompt, and subsequent replies are crafted to continue the narrative, each replying to the previous tweet. This setup is ideal for social media managers, content creators, or marketers aiming to automate engaging and cohesive Twitter narratives without manual effort.
Automated Twitter Thread Generation with AI
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, twitterTool |
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