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How to Test a Kore.ai Bot

Blog post from TestMu AI

Post Details
Company
Date Published
Author
Akarshi Aggarwal
Word Count
2,563
Company Posts That Month
144
Language
English
Hacker News Points
-
Post removed?
No
Summary

Kore.ai is recognized for its sophisticated native testing capabilities in the enterprise bot market, offering Utterance Testing, Batch Testing, and Conversation Testing to ensure the accuracy and execution of dialog transitions. However, these tools primarily focus on intent classification and entity extraction, often missing critical aspects such as answer quality, user tone adaptation, and resistance to adversarial inputs. As bots evolve from scripted dialogues to generative responses, these gaps become more pronounced, necessitating additional evaluation methods. The guide suggests enhancing testing by integrating TestMu AI's Agent Testing platform, which uses a Webhook endpoint to conduct autonomous evaluations across multiple scenarios and personas. This approach complements native testing by scoring conversations on nine quality metrics, addressing areas like Search AI hallucination and context awareness, thus providing a comprehensive assessment before bots are deployed in production environments.

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