Suitable inputs
Formats and project types
Side-by-side response pairsRubric scoresWritten critiquesFactuality checksInstruction-following labels
ScaleWorkAgencyService 01
AI response evaluation
Rank, score and critique model outputs against clear, project-specific rubrics.
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Qualification follows the task.
Subject-matter knowledge Critical reading Evidence-based writing Project-specific calibration
Managed workflow
From brief to reviewed delivery.
01Define evaluation dimensions
02Build and test the rubric
03Qualify and calibrate evaluators
04Run production with review sampling
05Deliver structured data and findings
Quality controls
Designed into the programme—not inspected in at the end.
Gold-standard tasks
Inter-rater checks
Reviewer escalation
Performance monitoring
Dataset-level validation
Questions, answered
Questions about ai response evaluation.
If your question is project-specific, include it in your consultation request and we’ll address it directly.
Can you work with our existing rubric?
Yes. We can operationalise an existing rubric, test it for ambiguity and build calibration examples before production begins.
How do you manage subjective judgments?
We use anchored examples, evaluator calibration, agreement checks and an escalation path for genuinely ambiguous cases.