Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/how-we-built-an-llm-review-pipeline-and-why-9167percent-accuracy-wasnt-enough.
How we built a nightly LLM review pipeline across 14 companies—and learned why 91.67% accuracy still couldn’t explain a sudden market signal.
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AUTODOC’s Innovation & AI Team built a nightly review-analysis workflow covering fourteen companies across three markets. A 300-review evaluation achieved 91.67% sentiment accuracy but exposed weak categories and questionable reference labels. A sharp decline in one company’s public reviews reinforced another limitation: accurate classification cannot establish why a business signal changed.