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Two favourite Jev patterns: AutoResearch features and hierarchical classification

Erik Gafni of TypeSafe names his favourites from the cookbooks.

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my personal faves are:

AutoResearch for Feature Extraction
Use LLMs to generate Jev questions's who's probabilities are fed into a classic ML algorithm like logistic regression to predict a label.

Hierarchical Classification
Traverse a classification taxonomy using Jev and

Oct 3, 2026Show the live post from X

How builders describe it

Erik Gafni of TypeSafe names his favourites from the cookbooks. AutoResearch for feature extraction: an LLM writes Jev questions, and their probabilities feed a classic algorithm such as logistic regression to predict a label. Hierarchical classification: traverse a taxonomy with Jev.

The decision Jev makes

Where to start: the quickstart, the decision primitives and the patterns.

Where it fits

The official starting points plus the best explainers, videos and articles about Jev and RLCD. All 342 guides & docs projects →

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