jev-research-pipeline
Code owns the loop, Jev judges, Qwen writes: a daily research monitor for standing questions.
Where Jev makes the decision
For each (fetched source, open research question) pair, Jev answers Noul gates (on topic, method transferable, evidence compatible) and then Score dimensions through Pydantic AI's native
typesafe:
model; deterministic code applies the thresholds and routes each pair to keep / review / drop.
Why it matters
Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.
Claims & evidence
Author and repository text is preserved where clear; missing languages are enriched automatically. Checks establish source-level Jev integration, not runtime, safety, or performance validation.
About Jev
Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.
Source: shimo4228/jev-research-pipeline — 0 stars, MIT. Listed by Awesome Jev.