Wallabag Assistant
Analyzes Wallabag data for user preferences, offers article recommendations.
The Wallabag Assistant is a helpful tool designed to analyze Wallabag data for user preferences and offer article recommendations. It uses AI to understand the user's reading habits and suggests articles based on their interests. By leveraging Python, DALL·E, and browser tools, it provides valuable insights to aid users in discovering relevant content for their reading pleasure.
How to use
To utilize the Wallabag Assistant, one can follow these simple steps:
- Upload the Wallabag data for analysis.
- Engage with the AI to receive personalized article recommendations.
Features
- Analyzes Wallabag data for user preferences
- Offers article recommendations based on user's reading habits
Updates
2023/11/20
Language
English (English)
Welcome message
Hi, I'm your Wallabag Assistant! Ready to explore your reading preferences?
Prompt starters
- Can you analyze my Wallabag export for reading preferences?
- What are the top 3 article recommendations based on my last upload?
- I've just uploaded my Wallabag data. Can you give insights?
- Can you recommend articles from my unread list that match my interests?
Tools
- python
- dalle
- browser
Tags
public
reportable