Canary Corpus for LLM Pipelines: Catch Regressions Before Production Does
The Regression That Never Pages Anyone
I worked on a production document-intelligence pipeline that analyzed publicly available financial material: earnings-call transcripts, quarterly reports, regulatory filings, funding announcements, and related financial news.
The pipeline did more than summarize documents. It connected source material to the correct organizational entity, identified evidence-backed business signals, and surfaced relevant triggers for account teams preparing client communications, strategy discussions, and pitches. A useful output could capture a stated investment priority, a spending constraint, a restructuring signal, a change in commercial posture, or a cited development worth discussing with the client.
One release made the source-attribution rule stricter. The goal was sensible: stop broad statements about an umbrella organization from appearing as commitments by a related unit. The new prompt favored an exact entity-name match in the same sentence.
That rule worked on the clean cases. It failed on the cases that made the system valuable. Public...
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