What should I do if the AI Agent provides inaccurate answers after being launched?

Immediate action can rectify inaccurate AI agent responses. Address post-launch accuracy issues through systematic validation, monitoring, and refinement processes.

Implement continuous monitoring to identify specific errors. Analyze user interactions and system logs to pinpoint recurring failure patterns and their root causes. Prioritize inaccuracies based on impact and frequency. Augment training data, adjust prompt engineering techniques, or revise knowledge sources. Establish clear escalation paths for critical errors.

To resolve inaccuracies: 1) Diagnose errors by reviewing flagged outputs and user feedback; 2) Identify knowledge gaps or prompting weaknesses causing failures; 3) Refine knowledge base content and agent configuration parameters; 4) Retrain and validate with updated datasets; 5) Conduct rigorous A/B testing before redeployment. Regularly iterate based on performance metrics.