Automated README summary
Automatically summarized from the README on 2 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A TypeScript demo showing how to run Jev (TypeSafe AI) with its questions, model, and thresholds stored in Quonfig config instead of code. For developers who want per-customer question sets and live config updates.
How it uses Jev
Jev answers typed questions about support text. The question set, model, and thresholds come from Quonfig config. The code forwards the context and question set to Jev's systemOne and uses the returned probabilities (e.g., churn_risk, frustration, topic) to triage support tickets.
Primitives:choicescorenoul
Technique worth stealing
Store Jev questions, model, and thresholds in git-native Quonfig config, with per-customer rules, so they can change without code changes.
Try it
git clone, npm install, npm run demo (no keys needed; mock Jev).
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 material0.86
- Shows a System One patternnot found in the excerpt0.32
- Describes handling uncertaintynot found in the excerpt0.15
- Reports measured numbersnot found in the excerpt0.06
- Is a runnable toolFound in material0.88
- Top-10 learning shortlist signalFound in material0.61
- Is a replica of the modelnot found in the excerpt0.06
- Solves a common problem (0–2)score on a 0–2 scale0.84 / 2
- About JevFound in material0.98
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 2 Oct 2026.