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jev-cloud-quiz

minorun365/jev-cloud-quiz · Homepage

Jev classifies cloud service names with probabilities.

Classification & Routing0.49Runner-up: Evaluation & Benchmarking
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

A demo where Jev, TypeSafe AI's System One model, determines which of three major clouds (AWS, Azure, Google Cloud) a given service name belongs to, showing probabilities. For developers exploring probabilistic classification.

How it uses Jev

Jev takes a service name and returns a probability distribution over the three clouds in one parallel pass. The three bars on screen are drawn directly from the model's returned `probabilities`. No text generation.

Primitives:choice

Technique worth stealing

Using Jev's probability distribution to visualize confidence via bar lengths.

Try it

npm install; export TYPESAFE_API_KEY=; npm run serve

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 material0.90
  • Shows a System One patternnot found in the excerpt0.22
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.07
  • Is a runnable toolFound in material0.87
  • Top-10 learning shortlist signalunclear0.51
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale0.00 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.90Shows a System One pattern0.22Describes handling uncertainty0.06Reports measured numbers0.07Is a runnable tool0.87Top-10 learning shortlist signal0.51Is a replica of the model0.0300.51Solves a common problem (0–2)0.00 / 2012

no-judgment band (0.40–0.60)

Design patterns

No pattern scored above the reporting threshold.

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.