Editorial AI in AEM: Giving Editors Control Over LLM-Generated Image Descriptions

Most enterprise DAMs contain thousands of images with missing or broken dc:description metadata—an SEO and accessibility liability that no team can fix manually. This session shows how to solve it properly: an open-source AEM workflow that integrates a connection to a remote LLMs (via plain HTTP, no SDK, no bundle conflicts) to generate contextually accurate alt text at scale.

The intelligence isn't hardcoded into the system but stored as plain-text prompt files inside the DAM itself. That single design decision makes this architecture worth understanding: editors iterate on prompts like any other content. Consequently, a product image gets packaging-focused descriptions, a campaign asset gets CTA-aware copy, and an app screenshot gets feature-level descriptions, all from the same workflow without a single redeployment.