Response quality review
Review AI-generated responses against the criteria defined for your project, including relevance, completeness, clarity, and usefulness.
AI RESPONSE EVALUATION
Human review for better AI responses.
Avenris coordinates human evaluation workflows that review AI outputs against defined criteria, rubrics, and project requirements.
Discuss your projectInstruction following
Evaluate whether responses follow the requested instructions, constraints, format, and intended task.
Accuracy & consistency
Apply structured review criteria to identify factual, logical, or consistency issues that require human judgment.
Rubric-based evaluation
Use project-specific rubrics and calibrated guidance so reviewers apply evaluation criteria consistently.
Comparative evaluation
Compare multiple responses when a project requires relative quality judgments or preference signals.
Quality review
Support reviewer calibration, feedback, and quality checks throughout the evaluation workflow.
HUMAN EVALUATION
From criteria to reviewed outputs.
We structure the evaluation process around your rubric, reviewer requirements, calibration needs, and expected output.
Define
Align on response types, evaluation criteria, rubrics, languages, volume, and delivery requirements.
Calibrate
Prepare qualified reviewers and calibrate judgments against project examples and guidance.
Evaluate
Review responses using the agreed criteria and capture structured judgments.
Review & deliver
Apply quality checks and prepare the agreed evaluation outputs for handoff.
PROJECT FITBuilt around your
Built around your
requirements.
Scope, reviewer requirements, languages, criteria, volume, quality processes, and delivery are defined around the needs of the project.
- Defined criteria
- Qualified contributors
- Calibration
- Quality review
- Structured outputs
- Managed delivery