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dernier-abri

Pablositoo/dernier-abri

3D defense game where JEV classifies silhouettes, deterministic code decides.

Automated README summary

Automatically summarized from the README on 16 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A 3D browser defense game and test bench for decision-making under uncertainty. Players face silhouettes in the dark; JEV estimates if each is zombie or survivor, and code decides to shoot or not. Built for the Coding for AI course at aivancity.

How it uses Jev

JEV receives only text descriptions of each silhouette and answers two opposite questions: 'is this a zombie' and 'is this a human survivor'. It also re-evaluates after a verbal challenge. Its probabilities are combined with measured movement via Bayesian log-odds and Wald's SPRT, then rules of engagement decide the action. JEV never decides to shoot.

Primitives:choicescore

Technique worth stealing

Bayesian evidence fusion with Wald's sequential test, calibrated probabilities, and drift detection via canaries.

Try it

git clone && cd jev-zombies-3d; python3 server.py --fake; open http://localhost:8000

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 material0.88
  • Shows a System One patternFound in material0.84
  • Describes handling uncertaintynot found in the excerpt0.16
  • Reports measured numbersnot found in the excerpt0.10
  • Is a runnable toolunclear0.59
  • Top-10 learning shortlist signalunclear0.52
  • Is a replica of the modelnot found in the excerpt0.15
  • Solves a common problem (0–2)score on a 0–2 scale0.09 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.88Shows a System One pattern0.84Describes handling uncertainty0.16Reports measured numbers0.10Is a runnable tool0.59Top-10 learning shortlist signal0.52Is a replica of the model0.1500.51Solves a common problem (0–2)0.09 / 2012

no-judgment band (0.40–0.60)

Design patterns
Scorecard0.95Inspection0.89Grey zone0.74Check-up0.74Blind review0.68Thermostat0.68Traffic light0.62Flight recorder0.59Viewfinder0.3500.51

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 16 Oct 2026.