This n8n workflow automates the monitoring of TechCrunch for AI-related articles, leveraging Firecrawl for web scraping, AI classification for relevance filtering, and GPT-4 for summarization. The process begins with a scheduled trigger that initiates a Firecrawl request to scrape recent articles. An AI agent then analyzes each article to determine if it relates to AI, machine learning, or related fields. Relevant articles are summarized into concise bullet points using OpenAI’s GPT-4, and the insights are subsequently delivered to a designated Slack channel. This automated pipeline keeps teams updated on the latest AI industry developments without manual effort, enabling quick decision-making and strategic planning.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, httpRequest, scheduleTrigger, slack, stickyNote, wait