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Jev Evaluation

143 curated entries tagged evaluation.

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Published evaluations of four automation workflows, security incidents, agent trace observability, invoice processing, and customer service, comparing Jev and frontier LLMs as structured workflows versus single prompts.
Jev Practices & PatternsDocs#official#benchmarks#evaluation
Official
27GitHub stars
A bilingual field map of where Jev fits and where it fails, separating the author's raw API suites from cited third-party results and TypeSafe's own claims.
Jev Practices & Patterns#community#python#evaluation
A maintained list of jev-1.13's known failure modes, literal reading, unreliable counting, dates as text, indirection, context rot, and contradictory criteria, each with a guardrail.
Jev Practices & PatternsDocs#official#docs#evaluation
Official

Jev articles

Original guides that mention Evaluation.

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Replacing a rule with a model in one step is how thresholds get tuned on the wrong data. The three stages, what each one learns, and the one-flag rollback that makes a canary safe.
Jev Practices & Patterns#evaluation#rollout#confidence
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Interface, size, license, claims — in that order. A selection guide across the system-one catalog, from a 706K form scorer to 27B Jev students.
Jev Practices & Patterns#open-models#evaluation#benchmarks
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Base decision checkpoints sit near chance on purpose. The typed-decisions loop, the corpora behind the students, and the temperature fit that turns probabilities into thresholds.
Jev Practices & Patterns#fine-tuning#calibration#open-models
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