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Jev Capability Atlas

Bilingual evidence map of where Jev holds up and where it breaks, built from recorded API-call receipts rather than a leaderboard.

BenchmarkresearchMIT

Overview

Jev Capability Atlas is an independent, Chinese-first bilingual community project that helps people judge whether a task suits Jev. Instead of a leaderboard, it maps where the calibrated-decision claim holds and where it fails, using receipts from real API calls, reusable test suites and guides, while citing and not redoing existing benchmarks. It separates its own tests, third-party benchmarks and editorial synthesis, and invites contributions.

Its core finding is a single axis: Jev's built-in world knowledge is limited, but when the needed information is fully present in the state, its reading comprehension and extraction are very strong, so it excels at classification, judging whether two texts are related, catching semantic contradictions and batch choices over fully described candidates such as browser elements. Conversely it relies entirely on the text given: when a question contains an error it does not flag it and answers confidently, as when a typo in a history question's correct option led to a wrong answer at 0.90 confidence. It argues Jev is neither a state machine nor guessing, nor a reasoning model. The MrJev list notes its licence is not a recognised open-source licence, though the input lists MIT.

What the decision model decides

TypeQuestionAnswers
OtherWhich kinds of narrow decision tasks does Jev handle well or poorly?—

How it works

  1. Run suites against the live API and keep receipts
  2. Collect and translate third-party results
  3. Synthesise a capability map with evidence labels
  4. Accept community contributions

Strengths

  • Evidence-labelled claims
  • Practical guidance: put needed facts in the state
  • Documents surprising failure cases

Caveats

  • Primarily Chinese
  • Licence status disputed between lists

At a glance

Type
Benchmark
Status
research
Language
Python
Runtime
test suites and docs
Has code
yes
Has tests
yes
License
MIT

Use cases and integrations

How curated lists describe it

  • This repository collects real Jev API-call receipts, test suites, and bilingual guides to map which narrow-decision tasks suit Jev and how Agents should evaluate and report fit.

    logicrw/awesome-jev-projects
  • Bilingual evidence map with recorded API runs and reusable suites that separates its own tests, third-party benchmarks, and editorial synthesis.

    cobanov/awesome-jev
  • Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。

    hellogumbo/awesome-jev
  • A bilingual map of where Jev holds up and where it breaks, built from recorded API calls rather than a leaderboard. Its LICENSE is not a recognised open-source license.

    MrJev/awesome-jev

Frequently asked questions

When is Jev strong?

When the answer is in the state you provide: classification, relatedness, contradictions and batch choices.

When is it weak?

When it needs outside knowledge or when the question itself contains errors it will not flag.

Is it a leaderboard?

No, it is an evidence map of strengths and weaknesses.

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