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Applied AI·July 22, 2026·1 min read

AI agents aren't confidently wrong because of bad context — they're wrong because of bad data engineering

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The failure mode here is operational, not model-level—stale, mis-modeled, or poorly governed data turns otherwise solid agents into liability factories. If you're shipping agents, your real moat is a disciplined data engineering and change-management pipeline, not clever prompts.