Your Extraction POC Works on 10 Documents. Here's Why It Dies on 10,000.
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I build the extraction pipelines that have to hold up on the whole corpus, not the slice in the demo. Which usually means I get called in after the celebration. The vendor demo ran clean: a dozen hand-picked PDFs went in, structured fields came out, the fields were correct, and everyone in the room exhaled. Somebody said the word "magic." A six-figure number got attached to a roadmap. Then the pipeline met the real corpus — the ten thousand documents the business actually owns, the ones nobody…
1Key Takeaways
- I build the extraction pipelines that have to hold up on the whole corpus, not the slice in the demo.
- Which usually means I get called in after the celebration.
- The vendor demo ran clean: a dozen hand-picked PDFs went in, structured fields came out, the fields were correct, and everyone in the room exhaled.
- Somebody said the word "magic." A six-figure number got attached to a roadmap.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that i build the extraction pipelines that have to hold up on the whole corpus, not the slice in the demo.
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