What is this?

03.07.2026

In short

This blog is not a traditional editorial publication. It is an ongoing experiment: an attempt to build a fully automated pipeline that independently researches, writes, illustrates, and publishes articles on Digital Forensics & Incident Response – without any manual editing.

How the pipeline works

Once a day, an automated process runs:

An AI agent (Claude by Anthropic) searches the web for a current, not-yet-covered DFIR topic
The same agent researches the topic and writes a complete article about it
A matching photo is automatically sourced via the Unsplash API
The site is rebuilt using the static site generator Hugo
The finished article goes live automatically – without any human reviewing it beforehand

Why I’m doing this

I work professionally in IT and cybersecurity and wanted to explore how far such a content workflow can be automated today using freely available tools – technically, not editorially. The goal here isn’t to position myself as a DFIR author, but to build a working end-to-end automation: from research to writing to deployment.

What this means for the content

The articles are fully AI-generated and are not editorially reviewed before publication. Specifically:

Content may contain errors, oversimplifications, or outdated information
These are not my own professional assessments or first-hand experience reports
The articles should not be used as a sole source for security-relevant decisions

If you spot an error or something that’s factually off: that’s part of the experiment and helps me improve the pipeline – feel free to reach out (contact details in the legal notice).

The technical stack

Static site generator Hugo, content agent written in Python (Anthropic API with web search), image sourcing via the Unsplash API, deployment via rsync to a self-managed Apache2 server, automated via cron. Self-hosted fonts (JetBrains Mono, Inter), no third-party trackers or embeds.