bestblogs-content-reviewer

What problem does it solve?

This tool addresses the burden of manually validating and correcting AI-generated quality scores for BestBlogs content by automating the retrieval, assessment, and batch marking workflow so curators can focus on high-value decisions.

Core Features & Use Cases

• Automated Retrieval: Fetches up to 200 pending articles and tweets using the BestBlogs Admin API for daily or scheduled review.
• AI-Assisted Assessment & Classification: Evaluates content quality, score reasonableness, domain value, source reliability, and timeliness, then classifies items into recommended reading, score-accurate, under-scored, or over-scored buckets.
• Safe Batch Actions & Reporting: Prepares human-readable review tables, waits for explicit confirmation before performing write operations, and performs controlled, batched mark-not-qualified calls with progress and error handling.
• Use Case: A curator runs a morning review to surface 5–10 deep-reading articles and to batch-correct scoring errors for low-quality items discovered by the AI review.

Quick Start

Run a daily review to fetch pending items, evaluate AI scores, produce a grouped review table, and prepare batch markNotQualified calls awaiting your confirmation.