Repo · Data & extraction

SignalChain

Data-cleaning framework that asks Jev Choice questions to classify each CSV column into a 13-code type vocabulary and each dataset into one of six…

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From the repository

AI classifies the data type of each column and outputs a single character. Two engines supported: generative LLM and probabilistic engine Jev. Cleaning and classification results match in practice.

cachingdata-cleaningdata-pipelinedecision-enginejevllmpandaspythonstructured-outputsystem1-system2

How builders describe it

Data-cleaning framework that asks Jev Choice questions to classify each CSV column into a 13-code type vocabulary and each dataset into one of six scenes, then executes every write locally; an optional System 2 LLM handles the default path or escalations.

The decision Jev makes

Keep or drop a row, assign a label, or select one field value at a time.

Where it fits

Putting Jev next to the data: filtering rows with plain-English conditions, classifying records, labelling datasets and pulling structure out of text one small decision at a time. All 98 data & extraction projects →

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