Content Edit dotAI Integration

Problem Statement

Currently, content creation and refinement in dotCMS requires significant manual effort. Content editors lack AI-powered tools to enhance, generate, and refine content at various levels (field, content type, and block editor). This results in inconsistent content quality, increased time-to-publish, and limited content optimization capabilities.

Objectives

• Implement a progressive, phased approach to AI-powered content enhancement in dotCMS
• Deliver immediate customer value through vertical slices of functionality
• Seamlessly integrate AI capabilities with existing dotCMS interfaces
• Enable customization of AI behavior through field variables and global settings
• Support multiple content refinement and generation scenarios

User Story

As a content editor, I want access to AI-powered content enhancement tools at various levels (field, content type, block editor), so I can efficiently create, refine, and optimize content while maintaining consistency and quality.

Acceptance Criteria

• The system provides AI assistance for Text Field, WYSIWYG, and Textarea field types
• Users can apply predefined and custom content refinements through an intuitive interface
• Content generation capabilities support both new and existing content
• The solution preserves existing content when requested
• All components follow dotCMS design system guidelines
• Integration with dotAI provides appropriate loading states and error handling
• The system supports customization through field variables and global settings

Proposed Objective

Core Features

Proposed Priority

Priority 2 - Important

Implementation Approach

The implementation will follow a phased approach, delivering vertical slices of functionality that provide immediate value:

• Basic Field Refinements - Field-level AI assistance with predefined options
• Customizable Refinements - Customer-specific AI behavior configuration
• Full Content Generation - Complete content entries with structured output
• Advanced Content Generation - Content-type level AI customization
• Context-Aware Generation - Intelligent field-aware content generation
• Block Editor Enhancement - AI integration with block editor
• Taxonomy Enhancement - AI-powered content organization

External Links... Slack Conversations, Support Tickets, Figma Designs, etc.

No response

Assumptions & Initiation Needs

• dotAI API is available and can support the required functionality
• UI/UX designs for each phase are finalized before development begins
• Adequate performance and error handling have been considered

Implementation Notes

• Ensure seamless integration with dotAI structured data endpoints.
• Optimize performance to prevent delays when generating or updating content.
• Implement user-friendly options to preview, accept, or reject AI-generated content.

Impact Analysis

• Affected features: Content editing, dotAI integration, structured data handling.
• Data migration needs: None
• Backwards compatibility: Ensure compatibility with existing content types and dotCMS APIs.

Task Complexity

• Technical complexity: High - requires integration with dotAI API, structured data handling, and multiple field types
• Testing complexity: High - involves testing various content types, user scenarios, and edge cases
• Integration complexity: High - requires coordination across multiple dotCMS components

Video 1 Hackathon - Content Generation

https://github.com/user-attachments/assets/ff2e1beb-2f8d-4f6e-a610-a19c193c173f

Video 2 Hackathon - Inputs refinement

https://github.com/user-attachments/assets/a8340def-e2c8-4a1c-bf5e-dda48030062f

No source files, tests, or entry points are identified. Start by reviewing the dotAI structured data endpoints and the existing Text Field, WYSIWYG, and Textarea editing flows; done requires a phased implementation covering the listed field assistance, generation, refinement, loading, error, and configuration requirements.