This n8n workflow automates the process of generating research-based articles from user topics and converts them into styled HTML pages suitable for WordPress or web publishing. It begins with a webhook trigger that captures user input or topic requests, then leverages LangChain and OpenAI’s GPT models to perform research, generate structured article content, and enhance the content with professional HTML formatting using Tailwind CSS. The workflow includes conditional logic to improve topics, extract JSON structures, and create responsive, styled HTML articles, which can then be shared via Telegram or integrated into a website. Practical application includes content creation automation for blogs, research summaries, or knowledge bases, saving time and ensuring consistency in presentation.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.toolWorkflow, executeWorkflowTrigger, httpRequest, if, noOp, respondToWebhook, set, stickyNote, telegram, webhook