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jev-chat-jarvis-mac

jev-chat/jev-chat-jarvis-mac

macOS floating chat assistant: screen-aware intent and risk, reply candidates.

Classification & Routing0.59Runner-up: Content ModerationFunnel
Automated README summary

Automatically summarized from the README on 26 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A macOS floating panel for supported chat apps that reads on-screen messages (screenshot + Apple Vision OCR, or system text API), then shows the message's intent, a 0–9 risk level with suggested action, and reply candidates. Read-only, no injection or hooks.

How it uses Jev

Jev judges each incoming message: an 8-class intent distribution and a 0–9 risk score with action advice, from the message text plus chat context (history, quotes, background). The panel displays intent, recognition rate, risk level and advice; candidates are generated separately and re-ranked by a local model.

Primitives:choicescore

Technique worth stealing

Zero-shot intent classification and graded risk scoring from one local forward pass, used to drive a read-only overlay.

Try it

brew tap jev-chat/tap && brew install --cask jev-chat/tap/jev-jarvis, or run ./start.command from source.

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 projectunclear0.51
  • Shows a System One patternnot found in the excerpt0.32
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersFound in material0.94
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalnot found in the excerpt0.32
  • Is a replica of the modelFound in material0.61
  • Solves a common problem (0–2)score on a 0–2 scale1.01 / 2
  • About JevFound in material0.66
Signals
Jev is core to the project0.51Shows a System One pattern0.32Describes handling uncertainty0.05Reports measured numbers0.94Is a runnable tool0.96Top-10 learning shortlist signal0.32Is a replica of the model0.6100.51Solves a common problem (0–2)1.01 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.77Viewfinder0.59Menu0.46Fail open, fail closed0.40Check-up0.39Ghostwriter0.3400.51

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 26 Oct 2026.