[Meta] AI talk to your images

Overview

This issue proposes implementing a conversational interface for image discovery in Drupal, building upon the foundation established in the AI Image Classification 🌱 [Meta] AI Image Classification Active issue. By leveraging AI-powered image classification and descriptive metadata, users will be able to discover images through natural language queries, significantly improving the content creation workflow.

Goals

The primary objective is to create an intuitive conversational interface that transforms how users interact with their media library. Instead of manually browsing through countless images, content creators will be able to ask natural questions like:

• "Find me all images with smiling people"
• "Show me all images from DrupalCon"
• "Display photos with blue skies and mountains"

This functionality will be integrated directly into Drupal's media reference field dialogs, making image discovery seamless and efficient within the existing editorial workflow.

Looking toward the future, the conversational agent functionality will be designed as a reusable component that can be integrated into other AI agents, enabling sophisticated use cases such as automated landing page creation with contextually appropriate imagery.

Dependencies

This feature depends on the successful implementation of AI Image Classification 🌱 [Meta] AI Image Classification Active , which provides the foundational image analysis, descriptive text generation, and tagging capabilities required for conversational search functionality.

MVP Functionality

Core Features

Conversational Media Selection Dialog

• Replace or enhance existing media browser with AI-powered conversational interface
• Enable natural language queries for image discovery
• Provide real-time search results based on image classifications and metadata
• Allow users to select and insert images directly from search results

Agent-Based Architecture

• Implement functionality as a standalone agent component
• Design for reusability across different contexts and use cases
• Ensure compatibility with future agent-to-agent communication patterns

Technical Requirements

• Integration with existing media reference fields
• Responsive dialog interface compatible with Drupal's admin theme
• Performance optimization for large media libraries
• Accessibility compliance for conversational UI elements

Implementation Roadmap

Planning & Design

• Review and finalize MVP functionality specifications
• Gather community feedback and additional feature requests
• Create detailed technical specifications and wireframes

Team Assembly

• Identify and assemble implementation team
• Establish project timeline and milestones
• Set up development environment and testing protocols

Development

• Implement core conversational interface
• Develop agent architecture and APIs
• Create comprehensive test coverage

Testing & Refinement

• Performance optimization and security review
• Documentation and community training materials

Success Metrics

• Reduced time to find relevant images in content creation workflows
• Increased user satisfaction with media management
• Successful integration with existing Drupal editorial experience
• Foundation established for future AI agent ecosystem development

Community Impact

This feature represents a significant step forward in making Drupal's content management capabilities more intuitive and AI-powered, positioning Drupal as a leader in conversational content management interfaces.

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