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candidate-experience-benchmark

adambkovacs/candidate-experience-benchmark · Homepage

Benchmarking TypeSafe Jev vs LLMs on candidate feedback classification.

Evaluation & Benchmarking0.89Runner-up: Classification & Routing
Automated README summary

Automatically summarized from the README on 8 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Compares TypeSafe Jev and general-purpose language models on 60 synthetic candidate-experience reviews. Each method makes four judgments per review. Results include validity, agreement with provisional references, prompt variations, times, tokens, and costs.

How it uses Jev

Jev classifies each review by answering four typed questions. The README does not specify the exact questions or how Jev's probabilities are used in code.

Primitives:choice

Technique worth stealing

Using synthetic reviews with provisional references to compare decision models and LLMs on classification tasks.

Try it

Explore results at the project website or read the evidence report.

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 projectnot found in the excerpt0.37
  • Shows a System One patternnot found in the excerpt0.18
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.18
  • Is a runnable toolnot found in the excerpt0.04
  • Top-10 learning shortlist signalnot found in the excerpt0.19
  • Is a replica of the modelnot found in the excerpt0.08
  • Solves a common problem (0–2)score on a 0–2 scale1.01 / 2
  • About JevFound in material0.94
Signals
Jev is core to the project0.37Shows a System One pattern0.18Describes handling uncertainty0.04Reports measured numbers0.18Is a runnable tool0.04Top-10 learning shortlist signal0.19Is a replica of the model0.0800.51Solves a common problem (0–2)1.01 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.42Flight recorder0.2800.51

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 8 Oct 2026.