Audit Content Quality and Completeness
Systematic audit of unified_rag_content for quality gaps — too-short illustrations, missing embeddings, missing images, low theological lens coverage, and stub content
Systematic audit of unified_rag_content for quality gaps — too-short illustrations, missing embeddings, missing images, low theological lens coverage, and stub content
Static code analysis that catches anti-patterns, security shortcuts, and failure handling gaps that functional testing misses
Daily Vercel cron job that checks system health, detects data drift, creates founder_action_items for required intervention, and purges expired restrictions
Documents the 158 remaining WARNINGs in validate_product_knowledge() as batch-provisioning artifacts, not real data quality issues. Includes the 3 content corrections applied during this audit.
Complete audit of every protection mechanism for the ChurchWiseAI chatbot and voice agent, with gap analysis and the test/baseline/benchmark framework definition.