After conducting a test run, a detailed analysis of the test results is crucial to assess the performance of the AI agent and identify potential areas for optimization. Test results show whether the AI agent is reacting as expected or if adjustments are needed.
The evaluation of the test results is essential to assure the quality and reliability of the AI agents. By comparing received and expected results, weaknesses can be detected and specifically optimized.