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Why Sales Demos Need a Difficult Example: Make Service Limits Visible
Only showing successful cases can easily lead to customers having overly high expectations for AI services, and exceptions will be discovered only when they are actually delivered. This article discusses how presales samples can contain normal, obscure, and impossible tasks simultaneously, explains why results require human validation, and turns difficult samples into scoping discussions. A good presentation helps both parties decide whether to cooperate and should not create the impression that "any material can be handled."
ChinaOPC Editorial TeamOriginal analysis1 min readChina2 views
Source timingPublic information and official documents; verified on October 23, 2026.
Provides technical background for retrieving and reordering data. The following is ChinaOPC’s original pre-sales analysis and does not report the actual accuracy or customer test results of any model.
Difficult examples should come from real task types
Simulate data retrieval, in addition to questions for which answers can be found, including missing data, conflicting old versions, and multiple similar products. Samples can be homemade, but they must be marked as simulations and do not require customers to secretly demonstrate technical capabilities.
Show how the system acknowledges deficiencies
Customers need to see what will be returned when there is no basis, how to supplement the information and who will confirm it. A clear prompt for verification is often better for business than a smooth but guesswork answer. Things that failed in the presentation should not be surreptitiously deleted and then claimed to have passed comprehensively.
Convert restrictions into cooperation conditions
Both parties can decide which data will be processed first, which data will not be supported temporarily, and how to charge or hand over exceptions. Sample performance applies only to this sample and cannot be extrapolated to guarantee all tasks. This article does not recommend using unverified efficiency numbers or vague verbal promises to close deals.
AI assists in organizing and writing, and editors check public sources. The main text is an independent analysis by ChinaOPC, with source facts and simulation plans separated; no interviews, financial audits or actual product testing have been conducted. Official documents are based on the original text of the source and have not been adapted or replaced. English translation of the Chinese edition, prepared with machine assistance and editorial checks. Source verification dates refer to the original Chinese research.
Source titles and publisher names are retained in their original language. Refer to the linked originals for official documents and current requirements.
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