AI-Powered Personalized News Shorts Generator
This challenge involves building an agentic system to automate the generation of personalized, short-form news content suitable for a vertical video feed. You will use AutoGen to orchestrate a team of agents that leverage OpenAI o3's multimodal capabilities for understanding source content and generating concise summaries/scripts, and Claude Sonnet 4 for content moderation and style adaptation. The system should dynamically tailor content based on simulated user profiles and preferences, demonstrating cutting-edge content transformation and personalization.
What you are building
Build an AutoGen-based multi-agent system with OpenAI o3 and Claude Sonnet 4 to generate personalized short-form news content from diverse sources.
How work is evaluated
The system will be evaluated on the relevance, conciseness, and personalization quality of its generated news shorts for given user profiles and source articles. Accuracy and adherence to content guidelines will also be assessed.
Datasets
Public datasets, plus the private datasets you have access to.
Learning goals
Design and implement personalized content delivery logic.
Leverage OpenAI o3 for multimodal news summarization.
Master AutoGen for orchestrating dynamic content pipelines.
Integrate Claude Sonnet 4 for content moderation and style.
Resources
Sample data for 1 tasks
Challenge setup
The system will be evaluated on the relevance, conciseness, and personalization quality of its generated news shorts for given user profiles and source articles. Accuracy and adherence to content guidelines will also...
Challenge input
{'news_article_url': 'string', 'user_profile': {'name': 'string', 'interests': ['string'], 'preferred_style': 'string', 'max_length_words': 'intege...
Agent execution
No agent tool is listed for this challenge.
Evaluated output
{'summary_text': 'string', 'reading_time_seconds': 'integer', 'style_adherence_score': 'float', 'personalization_notes': 'string'}
- Ensure the generated summary is grammatically correct and logically flows.
- Verify the summary adheres to the 'max_length_words' specified in the user profile (allowing for a small bu...
- Personalization Score target: 4
- Python execution harness
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
No tool records are attached.
Evaluation contract
- Ensure the generated summary is grammatically correct and logically flows.
- Verify the summary adheres to the 'max_length_words' specified in the user profile (allowing for a small buffer, e.g., 10%).
Metrics
- Personalization Score · Target 4
- Content Fidelity · Target 85
- Conciseness · Target 4
Workflow tasks
- Task 1
Input: {'news_article_url': 'string', 'user_profile': {'name': 'string', 'interests': ['string'], 'preferred_style': 'string', 'max_length_words': 'integer'}}
Output: {'summary_text': 'string', 'reading_time_seconds': 'integer', 'style_adherence_score': 'float', 'personalization_notes': 'string'}
Execution harness: Python
Recipe freeze marker
No recipe freeze time is recorded.