Appearance
August 10, 2026
Improvements
eVa AI now recognizes claim-related and informational requests, improving response relevance.
You can now use the
Refine textquick suggestion button in the eVa AI chat to instantly generate replacement-ready text for the selected text component on the content item layout. The generated text is based on documents from your knowledge base and considers the template metadata and content context. This streamlines creating text variants with minimal editing. Configuration requiredIn emails, email fragments, and email briefs, you can now specify how images captured with the Desktop view image option are displayed in the mobile version of the content item. Select whether to keep images at the desktop width or scale them proportionally to fit the width of the mobile screen.
In the Edit image text popup, use the new
Fix backgroundbutton to reconstruct the background in the areas occupied by text placeholders so that it matches the surrounding image. This reduces the effort required to update image texts, resulting in a clean, natural-looking image. Configuration requiredImage text recognition now groups multiline text into a single placeholder when all lines have the same font size. This preserves the original text structure and streamlines editing by reducing the number of placeholders. Configuration required
Admin setup
To configure text refinement in the eVa AI chat, in the environment configuration file →
aiAssistantadd:selected_text_generationvalue to theeva→supervisor→editSetarray to activate the corresponding AI agent.object labeled
Refine textto theui→hotActionsarray to make theRefine textquick suggestion button available in the eVa AI chat.
To show/hide the
Fix backgroundbutton in theEdit image textpopup, turn on/off theFix background with AIpermission in theUSER MANAGEMENT→Permission sets→SERVICES→Image text editorsection.To group multiline text into a single placeholder in the
Edit image textpopup, add therowMergingparameter and set it totruein the environment configuration file →imageEditor→text-recognition.