Evaluation Builder
Turn expert judgment into a reusable evaluator
Argmin AI captures expert corrections on selected cases and turns their judgment into a calibrated evaluator your team can run on every AI change.
First evaluator free · No card required
Make expert review reusable instead of repeating it every release.
Expert review reused
Watch expert review become an evaluator
See how expert corrections become reusable evaluator behavior, not one-off review notes.
Validation
Expert judgment that compounds
0.0%
Safety maintained
0
Edge cases
0
Evaluators
0%
Optimization
Internal Case Study: Mental Health Conversational AI
Main challenge: Preserve sensitive quality dimensions while making changes
Results
- Experts reviewed evaluator behavior
- Rubrics captured sensitive quality dimensions
- Edge cases stress-tested the evaluator
- Corrections became reusable calibration history
Get the case study PDF: how Argmin AI built the evaluator before optimizing
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Process
How it works
A calibration flow for teams that do not have a clean golden dataset yet.
InputsBring task, docs, traces, and hypotheses
Start with the AI task, domain docs, selected traces, and a few hypotheses about what good looks like. No golden dataset is required upfront.
CasesArgmin AI picks cases and analyzes evaluator mistakes
The platform finds normal, edge, and high-risk examples and surfaces where the evaluator disagrees with experts, so review time is spent on cases that actually move agreement.
ReviewExperts review, confirm or correct calls
Experts review and correct evaluator calls Argmin AI drafts first — never from a blank page.
CalibrateCorrections improve the evaluator and become the eval set
Every correction sharpens the evaluator and updates the calibrated eval set, quality rubric, score anchors, and calibration history.
RunTest every AI change
Use the evaluator on prompt edits, model switches, RAG updates, routing changes, and agent releases.
Key benefits & features
Expert-Calibrated
Experts confirm or correct evaluator calls on selected cases, so the evaluator learns the team's standard.
Rubric With Anchors
Judgment becomes a quality rubric with score anchors and examples, not a vague prompt.
Correction History
Every correction is retained, versioned, and available for future calibration rounds.
Reusable Review
The same expert signal runs against future AI changes without asking experts to repeat the same work.
Expert review / Rubric anchors / Reusable calibration history