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How We Took an AI Agent From 41% to 97% Accurate - Milind Sunil Shah, Brainbase Labs

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youtube.com
Author
AI Engineer
Date
Why it matters

Shows a repeatable loop (ontology, benchmarks, narrow first , score-fix-ship) that raised a back-office agent from 41% to 97% accuracy while cutting cost and runtime, all without a new model.

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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