This n8n workflow automates the process of analyzing YouTube videos, extracting the top-performing content, and creating engaging discussion threads based on video insights. It starts with a form trigger where users input specific keywords or audience preferences. The workflow then fetches YouTube videos and their statistics via API requests. It filters the videos to identify high performers, selects the top 5, and saves relevant data to Google Sheets for record-keeping. Additionally, it extracts video summaries and structures data to generate discussion threads using AI language models, such as Anthropic. The process includes data cleaning, context management, and decision points to ensure only relevant content is utilized for thread creation, making it ideal for content marketers, social media managers, and YouTubers aiming to automate content insights and community engagement.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatAnthropic, code, filter, formTrigger, googleSheets, httpRequest, limit, set, stickyNote, wait