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jevmeter

ChetasLua/jevmeter

Live Jev BS meter over any video, rendered as a 16:9 edit.

Scoring & Ranking0.63Runner-up: Evaluation & BenchmarkingQuestionnaireScorecard
Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

jevmeter scores every sentence in a video with Jev and renders the result as an overlay edit. It is for people who want a shareable, sentence-by-sentence meter of debates, earnings calls, podcasts or pitches.

How it uses Jev

For each sentence, jevmeter sends one Jev request with the speaker's history and the last question as context. Jev answers the preset's yes/no questions (e.g. evasive, dodged question) with calibrated probabilities; those scores drive flags, the meter gauge and highlight selection.

Primitives:choice

Technique worth stealing

One Jev request per sentence, with speaker history and the last question as context, so 'dodged question' knows what was asked.

Try it

git clone the repo, run ./install.sh, paste your API key, then run jevmeter and drag in a video.

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 material0.93
  • Shows a System One patternnot found in the excerpt0.12
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalnot found in the excerpt0.24
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale0.62 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.93Shows a System One pattern0.12Describes handling uncertainty0.04Reports measured numbers0.05Is a runnable tool0.96Top-10 learning shortlist signal0.24Is a replica of the model0.0400.51Solves a common problem (0–2)0.62 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.85Scorecard0.84Question bank0.68Flight recorder0.64Check-up0.50Viewfinder0.45Traffic light0.3700.51

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 20 Sept 2026.