Is this kind of stuff interesting to you? Let's chat here. Want better visibility into your AI workflows in n8n? In this video, I’ll show you how to track the actions your agent takes, log the outputs, monitor token usage, and calculate the cost of each run. This kind of observability is key when working with AI agents, especially to catch hallucinations and control costs, so you can continuously iterate on the system prompt. If you’re building agentic systems in n8n, this will help you stay in control.