TLDR Tech / Data
How I improved my analytics agent reliability from 45% to 86%
Analyzing failures in an analytics agent and fixing issues in tests, date-selection rules, documentation, and especially the underlying data model improved reliability from 45% to 86%. The results show that most gains in context engineering come from clearer data models, explicit rules, and better documentation rather than complex agent architectures.
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