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How do you Test an AI ChatBOT | Learn Playwright Before It's Too Late!

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102 views4likes8:09rdautomationlearning609Original Release: 2026-07-23

Testing AI chatbots requires a fundamentally different approach compared to traditional software testing, focusing on behavior, judgment, precision, and accuracy rather than simple pass/fail logic. The three core testing strategies include: (1) Intent Recognition - verifying the chatbot correctly identifies user intent from various phrasings (e.g., 'cancel my order', 'I don't want this order anymore', 'cancel please' should all map to the same intent); (2) Entity Extraction - testing the chatbot's ability to pull structured data from unstructured input (e.g., extracting destination, passengers, and date from 'book me a flight to NYC next Friday for two people'); and (3) Fallback Handling - ensuring the chatbot gracefully handles invalid inputs by saying 'I did not get that' instead of hallucinating answers. These approaches are essential for interview preparation as companies increasingly adopt AI technologies.