Retrieval and prompt engineering push Nigerian economics AI from 30/60 to 48/60
A development team set a rigorous acceptance benchmark on July 10, 2026, requiring an AI analyst tool covering Nigerian economic data to score a mean of 8 or above across six memo-style queries, each evaluated on five dimensions including citation quality and decision-usefulness. At the outset, the system scored roughly 30 out of 60, producing competent but generic responses. Over four to five weeks, engineers overhauled retrieval diversity, added a six-class intent classifier with structured memo templates, and enforced citation of primary sources such as CBN circulars and NBS reports over secondary briefings. Sector-specific market-participant primers were embedded in templates to help the model surface real, retrievable Nigerian companies rather than fabricate entities. Structural bugs in the intent router were also fixed after a 24-item audit revealed the system was misrouting queries based on token matching without checking surrounding context.
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