AI-Powered Link Analysis (Fallback Mode)

Executive Summary

Analyzed 78344 links with 10680 failures (82.1% success rate).

Root Cause Analysis

Based on failure patterns, the most common issues are:

• Broken External: Primary failure category
• External Dependencies: Third-party sites may have availability issues
• Configuration Issues: Internal links may reflect Jekyll setup problems

Educational Impact Assessment

Link failures impact the learning experience by:

• Disrupting learning flow when students encounter broken references
• Reducing credibility of educational content
• Creating frustration during self-paced learning

Priority Recommendations

1. Fix Internal Links: Highest priority - affects site navigation
2. Review External Sources: Update or replace unreliable external references
3. Implement Monitoring: Regular automated checks to catch issues early
4. Documentation Updates: Keep resource links current and valid

Prevention Strategies

• Regular link health monitoring (weekly checks)
• Use archived links for critical external resources
• Implement redirect management for moved content
• Test links before publishing new content

Note: Enhanced AI analysis requires OPENAI_API_KEY configuration.