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litebox-inbox-jev

hellolitebox/litebox-inbox-jev · Homepage

Gmail triage with TypeSafe Jev: label, archive, unsubscribe.

Automated README summary

Automatically summarized from the README on 27 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Python tool that triages a Gmail inbox: it reads new inbox emails, asks Jev for a category with calibrated confidence, then labels, archives, unsubscribes or spams according to configurable policy, recording everything in a database.

How it uses Jev

For each new inbox email, Jev receives relevant headers, the start of the body, previous_contact, and phishing signals (reply_without_thread, calendar_subject_without_invite, link_domains, sender_auth). It returns a category with probabilities, a "needs a reply" answer and tags; policy maps these to labels, archive, unsubscribe or spam actions.

Primitives:choicescore

Technique worth stealing

Sender rules from corrections and repeated high-confidence answers skip Jev for archive/spam categories; allowlisted and keep-rule senders still ask Jev for reply and tags.

Try it

Start with MODE=dry_run or label for a week or two, then switch to act.

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 material0.94
  • Shows a System One patternFound in material0.89
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.03
  • Is a runnable toolFound in material0.83
  • Top-10 learning shortlist signalunclear0.46
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.20 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.94Shows a System One pattern0.89Describes handling uncertainty0.07Reports measured numbers0.03Is a runnable tool0.83Top-10 learning shortlist signal0.46Is a replica of the model0.0300.51Solves a common problem (0–2)1.20 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.98Traffic light0.98Scorecard0.97Thermostat0.65Questionnaire0.63Viewfinder0.55Fail open, fail closed0.3200.51

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 27 Oct 2026.