Five Ways to Level Up Your AI Agents in n8n

If you are building AI agents in n8n, there are a few features that can take them from basic to genuinely useful. A lot of people only use the default setup, and they miss out on things that make agents more reliable, more accurate and much more powerful.

In this video I break down five features that every agent should be using. Some of them are simple. Others are overlooked because most tutorials skip them. I walk through everything using a real example, which is my budget tracking agent that logs expenses into a spreadsheet through Telegram.

Here is what I cover:

1. How to use a system prompt the right way

2. How tool calling works and how to let the agent fill parameters on its own

3. How to use structured output so your agent returns clean and predictable data

4. How simple memory works and when to store chat history

5. How to delegate tasks to a sub agent and avoid long messy prompts

These features apply to support agents, CRM update bots, appointment setters and any workflow that relies on AI reasoning.

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