Feb 19
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Learn how to take your n8n automations to the next level by integrating full AI observability. In this video, Patrick Deglon, author of the Demeterics platform, demonstrates how to automate complex workflows while maintaining complete visibility over costs and performance. As you build more complex AI agents, it becomes critical to understand where your money is going and how much time is being spent on execution. Patrick shows real-world examples of his own automations, including a daily email summarizing his sons' school grades and a fully automated YouTube channel that researches, narrates, and uploads videos automatically. By using Demeterics with n8n, you gain a single access point for multiple LLMs (like OpenAI, Claude, and Groq) and a powerful dashboard to track every interaction. **In this video, you will learn:** - Real-world examples of advanced n8n AI automation flows. - How to set up Demeterics API keys within n8n for unified LLM access. - How to use Interaction logs to see the exact "chain of thought" and search results of your AI agents. - How to use the Dashboard to monitor total cost per day, token usage, latency (P90), and error rates. **🔗 Links Mentioned:** - Demeterics Observability Platform: [https://demeterics.ai](https://www.google.com/search?q=https://demeterics.ai) - n8n Workflow Automation: [https://n8n.io](https://n8n.io/) **The goal of Demeterics is to provide detailed information about what's working and what isn't for your agents, helping you optimize costs and speed.** #n8n #AIautomation #LLMops #observability #Demeterics #Groq #OpenAI