Content Freshness Monitor
Continuously scans knowledge base articles for staleness indicators — outdated references, broken links, and procedures that no longer match current operations.
Capabilities
- • Scans articles for references to outdated products, policies, or procedures
- • Detects broken links and missing cross-references across the knowledge base
- • Assigns freshness scores based on content age, reference validity, and change frequency
- • Prioritizes review queues so editors focus on the most impactful updates first
Overview
The Content Freshness Monitor agent continuously scans your knowledge base, identifying articles that have gone stale. It goes beyond simple date checks — analyzing whether the content still accurately reflects current processes, products, and policies.
How It Works
The agent periodically reviews each article against multiple freshness signals: time since last update, validity of internal and external links, references to products or procedures that have changed, and consistency with related articles. Each article receives a freshness score, and those falling below threshold are queued for review with a summary of what triggered the flag.
The agent improves over time by learning which freshness signals most reliably predict content that editors choose to update, reducing false positives and focusing attention where it matters most.