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jev-chat-JARVIS

Finderchangchang/jev-chat-JARVIS

Android overlay reads chats, asks Jev for intent, drafts replies.

Agent Decisions0.41Runner-up: Classification & RoutingGhostwriterQuestionnaire
Automated README summary

Automatically summarized from the README on 21 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An Android accessibility overlay for WeChat, QQ, and X chats. It reads visible messages, judges the other party's intent and risk, drafts three replies, and fills a chosen one into the input box without sending. For personal study and research.

How it uses Jev

Jev answers one batch of typed questions (about seven) on the captured recent messages: the other party's true intent, danger level (1-9), what they want, whether to reply now, and the best action, returning in about one second with confidence. Jev also ranks the three drafted replies by suitability with proportions.

Primitives:choicescorenoul

Technique worth stealing

One core plus a per-app ChatAppAdapter that turns the accessibility tree into title and messages; everything downstream is reused.

Try it

adb install -r apk/jev-assistant-v1.2-release.apk, then set an OpenRouter API key and enable permissions.

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-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

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 material0.91
  • Shows a System One patternFound in material0.77
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersFound in material0.79
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalunclear0.57
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale0.98 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.91Shows a System One pattern0.77Describes handling uncertainty0.06Reports measured numbers0.79Is a runnable tool0.97Top-10 learning shortlist signal0.57Is a replica of the model0.0400.51Solves a common problem (0–2)0.98 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Ghostwriter0.76Funnel0.40Menu0.32Viewfinder0.31Blind review0.2800.51

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 21 Sept 2026.