AI Daily Evaluation Agent
What it is
A rubric-based evaluation harness for AI daily news reports that assesses candidate selection, report quality, and agent trajectory traceability. It uses a deterministic rule-based judge by default to score items against defined dimensions like impact, factuality, and self-correction, generating structured JSON and Markdown reports.
The problem it solves
Standard evaluations of AI-generated reports often only check the final text, missing critical issues in source selection, ranking logic, or the agent's internal decision trajectory.
What you could use it for
- Evaluating the quality of automated news curation pipelines
- Auditing LLM agent decision-making processes for consistency and traceability
- Benchmarking report generation for factual accuracy and readability
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Summary written by an AI model from the source; check the source before you rely on it.