A lifestyle and culture website wanted to experiment with automation but feared losing its recognizable tone. Its writing style relied on narrative language and emotional engagement rather than formal news structure.
Editorial personas were introduced to define tone, vocabulary, and structure. The system was trained on the site’s own articles, learning how stories were usually written. Summaries and background sections were generated according to these rules.
Editors refined the personas over time, adjusting prompt logic based on daily output. Automation became more accurate and stylistically consistent. Readers could not distinguish between manually written and assisted content.
This demonstrated that automation could scale production while preserving editorial identity.
