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Content automation · UNIS

Automating illustrations from CMS entry to published asset.

A scheduled media pipeline that reads glossary entries, generates contextual visuals and updates the CMS with hosted image links.

Illustrated overview of the content automation workflow

01 / THE CHALLENGE

The work that needed to change.

Preparing and attaching illustrations to an expanding glossary involved repetitive content and publishing steps. Processing state also needed to remain consistent between runs.

02 / THE SOLUTION

Connecting the right steps.

GraphQL retrieves CMS entries, filters identify work to process, and a prompt workflow prepares image instructions. Generated assets are uploaded to object storage, linked back to the CMS and recorded in a processing log.

  • Scheduled and batch processing
  • Contextual image prompts
  • Hosted media URLs and CMS updates
  • Processed-entry tracking

03 / THE WORKFLOW

How the system works.

  1. 01Retrieve CMS entries
  2. 02Filter unprocessed content
  3. 03Prepare image prompts
  4. 04Render & check illustrations
  5. 05Upload media assets
  6. 06Update CMS & log status

04 / THE OUTCOMES

What the workflow made possible.

  • Connected recurring media creation and publishing steps.
  • Reduced repetitive CMS administration.
  • Maintained a record of processed entries between runs.

05 / TECHNOLOGY

Tools behind the workflow.

n8nGraphQLComfyUISupabaseAWS S3

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