Since I started going to work by bike, checking the weather has become mandatory to plan my route and what to wear. Every evening and every morning I used to check my favourite weather website (3b meteo) for forecasts: I decided to automate this process with an AI agent and n8n.
Every evening I get a report on Telegram about the next day’s weather forecast, and every morning a brief on how much it rained the night before (Shelly weather station) and what the forecast looks like for the day.
In today’s article I’ll walk you through how I built this project using n8n, OpenRouter, a Shelly weather station, and a weather scraping project running on my homelab.
<a href="https://www.thinkasadev.com/en/ai-agent-for-weather-forecast/" target="_blank" rel="noopener nofollow">🔗 https://www.thinkasadev.com/en/ai-agent-for-weather-forecast/</a>

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A developer automated their daily weather-checking routine using n8n, OpenRouter, a Shelly weather station, and a custom web scraper. The setup sends a Telegram message every evening with the next day's forecast and every morning with overnight rainfall data and the day's outlook. The post walks through how the AI agent workflow was built on a homelab.

AI agent for weather forecast with LLM and n8n