# A Repeatable Human-in-the-Loop Process for Large-Scale LLM Classification

DevFeed: [A Repeatable Human-in-the-Loop Process for Large-Scale LLM Classification](<https://devfeed.tech/articles/stop-building-models-start-building-systems-22564.md>)

Original publisher: [Read original article](<https://tech.scribd.com/blog/2026/fast-llm-human-in-the-loop-classification.html>)

Author: Anish Kumar

Published: 2026-07-11T00:00:00Z

Content type: article

Language: en

Sources: [Scribd Tech](<https://devfeed.tech/sources/scribd-tech.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [asynchronous](<https://devfeed.tech/tags/asynchronous.md>), [batch](<https://devfeed.tech/tags/batch.md>), [content-trust-series](<https://devfeed.tech/tags/content-trust-series.md>), [cost](<https://devfeed.tech/tags/cost.md>), [data](<https://devfeed.tech/tags/data.md>), [databricks](<https://devfeed.tech/tags/databricks.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [featured](<https://devfeed.tech/tags/featured.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llm](<https://devfeed.tech/tags/llm.md>), [machinelearning](<https://devfeed.tech/tags/machinelearning.md>), [models](<https://devfeed.tech/tags/models.md>), [production](<https://devfeed.tech/tags/production.md>), [prompt](<https://devfeed.tech/tags/prompt.md>), [scribd](<https://devfeed.tech/tags/scribd.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

## AI overview

The article presents a repeatable human-in-the-loop process for large-scale LLM classification. It combines fast-model labeling, judge-model disagreement detection, targeted SME review, a golden dataset built from corrections, and selective prompt iteration.

## Source excerpt

LLM models change. Prompt quality changes. Cost changes. We assumed that from day one.