My First AI Agent Using n8n

Courtesy of Drake at AI Foundations

I’ve been a member of the AI Foundations community for a few months now, but this is the first time I ventured into agentic AI using the n8n AI agent development tool, with the help of Drake, one of the founders.

My ultimate goal is to produce personal healthcare agentic workflows that enable users to record and track their symptoms, routines (e.g., diet, exercise, meds), rhythms, etc., and produce custom, automated, and shareable reports. It will also allow folks to research their medical concerns using ChatGPT, and become better partners in their healthcare management.

Here’s the result:

This agent fetches local weather data from open-meteo.com when I ask ChatGPT for the weather. As it turns out, OpenAI provides 100 free credits to use their API if I use 4o-mini. I enabled the memory node so that the context of each request is remembered, so I can ask follow-up questions. The next step is a tool node for ChatGPT to get the weather info from open-meteo, and then produce a report. This report is then sent to my Gmail. I can even ask ChatGPT to draft a report pending my approval, and even produce a report with a humorous tone.

The next step is to find a data resource for local pollen counts, to create an alert when levels are high. This is particularly important to those with seasonal allergies like myself.

It’s important to note that the underlying power of this process is developing good prompt engineering skills. This is worthy of practicing on a daily basis.

It’s said that 2025 is the year of agentic AI. “But 2025 marks a profound inflection point. The focus now shifts from amplifying our physical capabilities to augmenting our cognitive abilities.” So, it’s certainly important for everyone, in all pursuits, to embrace this emerging technology.