Automated README summary
Automatically summarized from the README on 1 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A real-time audience simulator for LinkedIn posts. As you type, 120 readers (12 types) react with applause, shares, likes, comments, disagreement, or eye-rolls. An applause meter from 0 to 100 gives a verdict from 'Boo! 🍅' to 'Standing ovation! 🎉'.
How it uses Jev
One Jev call asks 17 typed questions in parallel: 12 choice questions (one per reader type, with 8 reaction options), 3 score questions (clarity, cliché, authenticity), and 2 yes/no questions (looks like AI, has call to action). The distributions are used to assign 120 seats (10 per reader type) via largest remainder method, and to compute the applause meter.
Primitives:choicescorenoul
Technique worth stealing
Use Jev's full probability distribution to simulate a diverse audience, not a single answer per reader.
Try it
npm run sensitivity, npm run calibrate, or run locally (see README).
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 material0.87
- Shows a System One patternnot found in the excerpt0.30
- Describes handling uncertaintynot found in the excerpt0.05
- Reports measured numbersFound in material0.67
- Is a runnable toolFound in material0.79
- Top-10 learning shortlist signalnot found in the excerpt0.23
- Is a replica of the modelnot found in the excerpt0.14
- Solves a common problem (0–2)score on a 0–2 scale0.15 / 2
- About JevFound in material0.96
no-judgment band (0.40–0.60)
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 1 Oct 2026.