Agent Harness for Scientific Data Exploration

This post introduces Insight Miner, an agent harness designed to encode scientific methodology into AI-driven infrastructure for unstructured data exploration. It enables scalable, reproducible, and auditable analysis of large text datasets, transforming artisanal investigation processes into a repeatable engineering discipline. The harness integrates core methods like extraction, embedding, and clustering with advanced techniques such as prompt tuning and hard-example mining, allowing data scientists to shift focus from execution to technique improvement. It has also seen adoption by non-technical teams, democratizing scaled analysis.