Practical guides on rubrics, sampling, severity, and reading grading reports. Written from real evaluation work, not theory.
The foundations: what evaluation is, how to run your first pilot, and how to read the results.
Everything you need to evaluate language model outputs, end to end.
Read the guide › ServiceHow structured human grading plus automated checks catch what either misses alone.
Learn more › GuideA practical walkthrough for scoping and running your first evaluation pilot.
Read the guide › GuideWhen a small pilot is enough, and when you need a full evaluation audit.
Read the guide › GuideWhat severity levels, sample counts, and findings actually mean for your roadmap.
Read the guide › ExampleSee what a finished JudgeMyAI grading report looks like.
View the sample ›Rubrics, sampling, severity scales, and the human-plus-automated loop.
Turn vague quality goals into criteria graders can apply consistently.
Read the guide › GuideHow many samples you need, and how to pick them so results mean something.
Read the guide › GuideHow we rank issues from critical failures to clean passes.
Read the guide › ServiceWhere trained human graders beat automated checks, and how to use both.
Learn more › ServiceLLM-as-a-judge pipelines for fast, repeatable scoring at scale.
Learn more › GuideAn honest comparison of strengths, limits, and when to combine them.
Read the guide › GuideWhere automated judges work well, and where they quietly fail.
Read the guide › ServiceCatch model drift and regressions after launch, not after users complain.
Learn more › ServiceBenchmarks built around your product instead of generic leaderboards.
Learn more ›Red teaming, grounding audits, and the training-data side of quality.
How to probe your app for jailbreaks, prompt injection, and unsafe behavior.
Read the guide › ServiceVerify your retrieval pipeline answers from sources, not from imagination.
Learn more › ServiceClean, consistent labels with quality checks on every batch.
Learn more › ServiceHigh-quality preference pairs for reward modeling and alignment.
Learn more › GuideTwo different jobs that people constantly confuse. Here is the difference.
Read the guide › GuidePick the right model for your use case using graded comparisons, not vibes.
Read the guide ›Build vs buy, in-house vs outsourced, and the terms worth knowing.
A fair look at building your own eval stack versus working with specialists.
Read the guide › GuideAn honest look at what internal QA covers and where outside grading helps.
Read the guide › GuideWhy traditional software testing does not cover model behavior.
Read the guide › GuideA 2026 overview of the evaluation tooling landscape.
Read the guide › ReferenceThe metrics people cite, explained in plain language.
Read the glossary › ReferenceKey terms from grading to grounding, in one place.
Read the glossary ›Guides help you think. A pilot shows you what your model is actually doing. Send 20 to 50 samples and get a graded report.
Start your pilot ›A 60-second tour of VideoEval scoring 10 AI-generated clips: prompt adherence, color saturation, motion ghosting, pass/fail verdicts, and the human review queue. Real demo, real numbers.
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