Rubric-based scoring
Score pairs consistently against your defined criteria.
Review & QA
Prompt-Response Review.
Structured review of prompt and response pairs against your rubrics — instruction-following, hallucinations, and quality.
Overview
Turn raw outputs into training signal.
Prompt-Response Review evaluates prompt and response pairs against client-defined rubrics, checking instruction-following, factual grounding, and quality. Reviewers flag weak responses and author gold-standard rewrites, producing clean signal for fine-tuning and model improvement.
What's included
From review to better models.
Instruction-following
Check whether the response actually follows the prompt.
Hallucination checks
Catch fabricated facts, citations, and reasoning gaps.
Weak-response flagging
Identify and categorize low-quality outputs.
Qualitative feedback
Capture structured notes on why a response fails.
Gold-standard rewrites
Author corrected responses as training references.
How it works
Managed delivery, powered by Intellego.
01 — Scope & rubric
We define the task, the rubric, and the quality bar with your team before any work begins.
02 — Vetted reviewers
Domain-matched, trained reviewers are assigned and calibrated through the Intellego engine.
03 — Managed workflow + QA
Work runs under managed workflows with second-level QA and client-specific rubrics on every batch.
04 — Reporting & delivery
You receive QA-checked output with measurable accuracy reporting — not just raw labels.
Start with a controlled pilot
See it on your data.
Run a scoped pilot, measure the quality, then scale once it's proven.