The Automation Stack I Actually Run
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The Automation Stack I Actually Run
To make this concrete: I have two n8n workflows in production right now.
The first monitors nine websites on a six-hour cron schedule. Each run sends HTTP requests to every site and checks the response codes. If something returns a 4xx or 5xx, or doesn’t respond at all, n8n sends an alert to Telegram with the site name and status. I set this up once. It’s been running for months. When a site goes down, I know within six hours without having to check anything manually.
The second handles contact form submissions. A form on my site posts to an API endpoint, which triggers an n8n webhook. n8n receives the submission, stores it in a database, and sends a formatted notification to Telegram. I can respond directly from the notification. The whole thing runs without any manual involvement on my end.
Neither of these requires AI. They’re straightforward automation — trigger, process, notify. That’s n8n at its most basic, and it’s already useful.
Where AI enters the picture is when the “process” step requires judgement: classifying the content of a submission, summarising a document before routing it, extracting structured data from unstructured text. That’s what the later modules cover.