Observed arrival · 2026-11-04
Rekount’s repeated-answer audit
Rekount audits enterprise data agents for whether their answers stay correct across repeated asks and rewordings.
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- For
- Teams evaluating enterprise data agents
- Worth noticing
- In one 72-wording example, it distinguishes 40 flaky wordings from four that were never right.
Field notes
One live demonstration asks Microsoft Fabric, Databricks Genie, and a GPT model writing SQL the same taxi-trip question; Rekount gives the data-derived count as 3,848,642 and shows differing model answers. The homepage also says its nine-industry census found 34% of answers agreed on by all three agents were still wrong when checked against the data. These are site-reported results, not independently validated in the supplied extract.
Observed signals
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◎NicheUnusually specific use
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