Sophora AI Add-on

Sophora AI enhances the Sophora CMS with powerful integrated AI capabilities. Key features include automated text generation (such as headlines and summaries), metadata extraction, search suggestions, and editorial quality checks. These AI tools are seamlessly integrated into the DeskClient via the new “AI Assistant” side panel, offering quick and convenient access to all available functions.

Text generation

• Generate titles
• Generate summaries
• Generate teaser texts
• Generate key points
• Shorten text
• Paraphrase text
• Elaborate text
• Translate text

Writing companion

• Simple quality control
• Generate analytical questions

Metadata extraction

• Extract keywords
• Extract named entities
• Extract quotes

Search

• Document suggestions for components
• Suggestion for external links

Images (coming soon)

• Generate alt-texts
• Generate captions
• Generate descriptions that can than be analysed further

Code

• Analyze and describe Sophora scripts

Integration into import workflows

All AI-driven content modifications can optionally be triggered via the Sophora Importer and are executed asynchronously. This approach ensures that no document locks are disrupted if content is already being edited. All changes are logged in detail and can be reviewed as part of the editorial workflow.

Documentation of AI actions

AI-driven content changes are recorded in a dynamic table embedded within the document, providing a clear and accessible audit trail.

Supporting other Sophora modules

• SEO Check Add-on: Automatically generate relevant SEO keywords and intelligent internal link suggestions to enhance content visibility.

Robust and flexible technology

• Highly configurable to support diverse customer needs and document models
• Easily extensible architecture
• Full internal access to Sophora's core functionality
• Compatible with the OpenAI API, allowing integration with various large language models (LLMs)
• Built-in features for reliability and performance, including retry logic, detailed logging, and caching
• Designed for cross-system workflows and agent-based architectures
• Ready for integration with the Model Context Protocol (MCP)
• Internal optimizations for improved AI output, such as prompt templating, grounding, and multi-model invocation
• Fallback mechanisms to maintain functionality in case of AI service failures
• Integrated metrics for usage and performance monitoring
• Delivered with a Helm chart for streamlined installation and deployment