The tutorial provides a step-by-step guide to integrating Helicone's AI Gateway with n8n workflows to monitor and log Large Language Model (LLM) interactions. It begins with instructions for self-hosting n8n using Docker, installing the Helicone community node, and configuring necessary credentials with an API key. Users are guided to create a simple workflow that queries an LLM and logs the interaction details to the Helicone dashboard, which displays metrics such as token usage and response times. The tutorial also suggests optional enhancements like custom properties, session tracking, and response caching for improved observability and performance. The guide concludes by offering resources for troubleshooting, community support, and further exploration of Helicone's capabilities.