Automated README summary
Automatically summarized from the README on 3 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
WERR is a deterministic reflex engine for developers needing fast, low-memory decisions in edge gating, routing, and DeFi risk scoring. It derives typed outputs from procedural polynomial escape dynamics instead of neural weights.
How it uses Jev
The README does not mention Jev. It describes WERR's own primitives: noul, choice, and score, computed from a projected complex-plane coordinate via z_{n+1}=z_n^2+c. Jev is not referenced.
Primitives:choicescorenoul
Technique worth stealing
Project context onto a complex-plane coordinate, iterate polynomial escape dynamics, and extract typed decisions from escape behavior.
Try it
pip install werrio, then instantiate werr.WerrEngine() and call noul, choice, or score.
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 projectFound in material0.71
- Shows a System One patternunclear0.59
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.21
- Is a runnable toolFound in material0.74
- Top-10 learning shortlist signalnot found in the excerpt0.08
- Is a replica of the modelFound in material0.72
- Solves a common problem (0–2)score on a 0–2 scale0.37 / 2
- About JevFound in material0.60
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 3 Nov 2026.