Jev glossary
Evaluation & TrainingGround truth
Consensus labels
Reference answers built from two frontier models at high thinking, used as the ground truth in TypeSafe's workflow evals.
- Category
- Evaluation & Training
- Also known as
- Ground truth
- Reading time
- 1 min
- Related terms
- 3
- Directory entries
- 1
- Docs
- evals.typesafe.ai
- Added
- 2026-09-24
Definition
The workflow evals score models against labels produced by GPT-6 Astra and Claude Fable 5.1 rather than human annotation. It is a pragmatic way to scale evaluation, and it inherits whatever the labeling models get wrong.
The caveat is part of the methodology: harness and label correctness are assumed rather than independently audited, which is why independent benchmarks and field reports are worth reading alongside vendor numbers.
Tagsevaluationbenchmarks
Related terms
Definitions that connect to this one.
Workflow evalsTypeSafe's published evaluations of four automation workflows, comparing Jev and frontier LLMs as structured workflows versus single prompts.Evaluation & TrainingBenchmark claimsTypeSafe's headline multipliers (193.6x faster, 444.6x cheaper, a 238x lower input price) come from its own workflow comparisons.Evaluation & TrainingCalibrationThe property that outcomes given a probability of 0.2 occur about 20% of the time, measured across many predictions.Answers & Confidence
From the Jev directory
Directory entries that go deeper on this term.
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
From the Jev AI model community
Posts from builders shipping with Jev right now.