This project began as a way to remove the repetitive operational work involved in publishing content while keeping quality and consistency high. Rather than building a one-off script, I approached it as a system that needed to run reliably in a real production environment. The focus was on automating the entire content lifecycle, not just generating text.

At a high level, the workflow runs on a scheduled trigger and uses AI to generate a fully structured article, including a headline, clean HTML formatting, and relevant image keywords. The generated content is logged for visibility and tracking, then paired with a contextually relevant image sourced automatically based on the article. Once assembled, the post is published directly to WordPress through the platform’s API, allowing content to go live without manual involvement.

The system was designed with monitoring and iteration in mind. Because it relies on multiple external services, it requires ongoing oversight to handle API limits, formatting changes, and evolving content requirements. By building in checkpoints and keeping the workflow flexible, the automation can be refined over time based on feedback, platform updates, and performance making it a durable solution rather than a fragile setup.