Agents fail in production when they cannot find trusted context. Duplicate records, stale lakes and undocumented schemas show up as hallucinations, even when the model is strong.
A usable foundation is lineage, quality checks, access policies and a retrieval path that cites sources. That is data engineering, not prompt craft.
We typically start by mapping the five systems the agent must read, then build a governed index and evaluation set before expanding tools. Scale the data path first; the agent follows.
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