A diagnostic tool that reverse-engineers failing AI systems to identify the root causes of their failures, helping communities to understand and mitigate the risks of future reliance on faulty AI. A-FAM provides both technical analysis and accessible explanations of the AI's errors, along with recommendations for developing more robust and ethical systems in the future. Open-sourced modules and user-friendly interface promotes transparent and accessible AI troubleshooting.