Response comparison
Present reviewers with candidate outputs and capture structured comparative judgments.
HUMAN FEEDBACK & PREFERENCE RANKING
Structured human preference signals.
Avenris supports projects that require people to compare AI responses, apply clear rubrics, and capture consistent preference judgments.
Discuss your projectPreference ranking
Rank or select responses according to project-defined quality criteria and evaluation instructions.
Rubric application
Translate project requirements into clear review criteria that contributors can apply consistently.
Reviewer calibration
Use examples, guidance, and feedback to align reviewers before and during scaled work.
Reasoned feedback
Capture supporting feedback or rationale when the project requires more than a preference selection.
Quality assurance
Review judgment consistency and address guideline drift through feedback and recalibration.
PREFERENCE WORKFLOWS
Human judgment, structured for use.
We organize the people, criteria, calibration, review, and handoff process around the preference data your project requires.
Define
Align on comparison format, rubric, response criteria, volume, and required reviewer context.
Calibrate
Prepare reviewers using examples and project guidance.
Compare
Capture preferences, rankings, and supporting feedback according to the agreed workflow.
Validate & deliver
Review consistency and prepare structured 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