This workflow streamlines the process of capturing form submissions, generating structured content, and updating Notion databases, all while leveraging AI-powered language models. It begins with a web form trigger that initiates content creation, including hierarchical structuring and tagging. The process incorporates multiple AI language models from OpenRouter and LangChain to generate TOC, blocks, and content summaries. It then formats, validates, and uploads rich content blocks into Notion, ensuring seamless knowledge management. Practical for research teams, content managers, or educators, this workflow automates content curation, categorization, and documentation, saving time and enhancing content accuracy.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, executeWorkflow, executeWorkflowTrigger, filter, formTrigger, httpRequest, markdown, merge, notion, set, splitInBatches, splitOut, stickyNote, wait