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jevit

Xvectorio/jevit

AI mail triage for Thunderbird using TypeSafe's Jev model.

Automated README summary

Automatically summarized from the README on 28 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

JevIt is a Thunderbird add-on that sorts email using plain-language yes/no recipes answered by TypeSafe's Jev model. It tags, stars, marks read, marks junk, or moves mail when a recipe's answer passes its threshold. Unofficial.

How it uses Jev

Each email becomes one System One request with a JSON state (sender, recipients, subject, cleaned body, headers, link hosts, attachments, own address). Every recipe is a Noul with yes/no criteria and up to 20 learned examples in the same request. A recipe matches at its threshold; star, read, junk and move wait until Jev is at least 90% sure.

Primitives:noul

Technique worth stealing

Bundle all recipes as Noul questions in one System One request per email, and cache scores by SHA-256 so re-triaging is free.

Try it

Install from addons.thunderbird.net or load manifest.json as a temporary add-on; run node test.js for tests.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.83
  • Shows a System One patternFound in material0.81
  • Describes handling uncertaintyunclear0.40
  • Reports measured numbersnot found in the excerpt0.02
  • Is a runnable toolFound in material0.99
  • Top-10 learning shortlist signalnot found in the excerpt0.26
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.09 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.83Shows a System One pattern0.81Describes handling uncertainty0.40Reports measured numbers0.02Is a runnable tool0.99Top-10 learning shortlist signal0.26Is a replica of the model0.0300.51Solves a common problem (0–2)1.09 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.96Fail open, fail closed0.94Traffic light0.91Grey zone0.76Funnel0.59Question bank0.58Inspection0.46Viewfinder0.30Prefetch0.2000.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 28 Oct 2026.