AI Auto-Tagging
complete
André Givenchy
Implement an AI-powered auto-tagging feature to automatically categorize and tag content added to Beloga workspaces.
User Value:
- Save time and effort by eliminating the need to manual tag captures.
- Improve content organization and searchability.
- Discovery of relevant connections between different pieces of content.
- Enhance productivity by focusing on high-value tasks instead of manual tagging.
Business Value:
- Increase user engagement and retention by providing a more efficient workflow.
- Further differentiate Beloga from competitors with added advanced AI capabilities.
- Enables better analytics and insights for based on auto-generated tags.
- Potential for upselling new users to higher-tier plans with more advanced AI features.
Implementation:
Leverage the Beloga foundation model(s) to analyze content and generate relevant tags based on:
- Text analysis for documents and notes.
- Image recognition for visual content.
- Metadata extraction from various file types.
- Allow users to review and refine auto-generated tags, improving the AI model over time.
Why Prioritize:
This feature aligns with Beloga's core value proposition of enhancing productivity and knowledge management.
Wilson Ler
complete
Wilson Ler
in progress