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JEV Research Input Filter

Slonski built a JEV-based filter for a research agent that makes a yes-or-no decision about incoming material. It rejects a pepperoni pizza recipe and approves a technical document on agent architecture.

SlonskiSlonski@Slonski_rt𝕏
too much ai noise every link feels important every thread feels like "alpha" my research agent was getting overwhelmed too many tokens spent on things that did not matter i needed a gatekeeper so i built a filter using JEV a system one model that does not think or summarize it just decides: yes or no the pizza test: > pepperoni pizza recipe: rejected > technical doc on agent architecture: approved do not let your most expensive model do the job of a simple filter use a fast, cheap decision layer to clean the input then let the researcher do the heavy lifting fewer tokens burned on thi
Sep 21, 2026X postsView on X
The filter was intended to keep irrelevant links and threads from overwhelming the research agent. Slonski recommends using a fast, cheap decision layer before the researcher does the heavier work.

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