Testing an Arabic assistant only with polished formal sentences will not reveal how it handles customer messages. Users abbreviate, mix languages, use local expressions and leave information unstated. Reliability appears in those details.
Build a representative set
Use authorized, appropriately minimized examples alongside carefully written test cases. Cover request types as well as language variation: clear questions, ambiguous requests, complaints and a change of intent during the conversation.
A hypothetical short message might concern reserving an item rather than purchasing it. Treating it as a final buying decision would be an intent failure. Test whether the assistant asks a concise clarification instead of inventing certainty.
Review outcome and wording
Evaluate factual correctness, compliance with approved information and tone. A response sounding natural is not sufficient. Reviewers familiar with local usage can distinguish technically correct wording from language customers may misunderstand.
Retain a stable test set for each update and add newly discovered failures. A good assistant does not need exaggerated imitation of dialect. It needs to understand the request, respond clearly and respectfully, and recognize when to clarify or transfer the conversation to a person. Language quality should support service accuracy rather than conceal its absence.
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