Best Practices for Using the Troubleshooting Agent
Follow these best practices to ensure troubleshooting insights remain accurate, consistent, and useful.
Data Configuration Best Practices
• Select only relevant work order and asset fields to reduce unnecessary noise
• Ensure historical data contains consistent and meaningful values
• Regularly review source fields to confirm they still reflect current processes
• Include only work orders where a problem was identified and resolved (for example, repair work orders), and exclude routine maintenance or inspection work orders
Instruction Best Practices
• Use clear, outcome-focused instructions to guide how data is summarized
• Avoid overly broad or ambiguous instructions
• Update instructions when troubleshooting patterns or processes change
Well-defined instructions improve clarity and consistency in AI-generated summaries.
Applying these best practices helps maintain reliable troubleshooting insights, minimizes misinterpretation, and ensures the Troubleshooting Agent continues to generate meaningful analysis over time.