content-opslisted

# Content Ops Content quality assurance system that combines expert panel evaluation with automated readability analysis, originality detection, content decay monitoring, and auto-refresh scheduling. Ensures every piece of content meets publishing standards before going live and stays fresh after publishing. ## When to Use - Score this content - Run readability check on [URL/text] - Check for content decay - Generate refresh calendar - Extract atoms from [content] - Run expert panel on [draft] - Check brand voice consistency ## Workflow 1. **Ingest Content** -- accept draft from any format (Google Doc, markdown, Notion, raw text) 2. **Readability Scan** -- calculate Flesch-Kincaid + Dale-Chall scores, flag structural issues 3. **Originality Check** -- compare against published content library for overlap 4. **AI Detection Pass** -- scan for AI-generated content patterns, flag for humanization 5. **Brand Voice Check** -- score against voice fingerprint, highlight deviations 6. **Expert Panel Review** -- route to relevant evaluators based on content type and channel 7. **Iterative Scoring** -- panel scores, identifies top 3 weaknesses, content is revised, re-scored 8. **Publishing Gate** -- requires readability pass + originality pass + voice pass + panel score >= 90 9. **Post-Publish Monitoring** -- track performance weekly, flag decay signals monthly 10. **Refresh Queue** -- prioritized backlog of content needing updates, sorted by traffic impact ## Reference Full methodo