LLM-as-judge asks a capable model to score or compare outputs against criteria, giving fast, cheap, repeatable evaluation for transcripts, summaries, or video answers. It needs careful prompts and spot-checks against humans, since the judge can be biased or wrong.

Book cover: AI for Video, Volume 7 of the Fora Soft Video Engineering Handbook

The book · Volume 7 of 7

AI for Video: A Complete Guide to Intelligence in Video Products: From Real-Time Pipelines and Agents to Serving, Cost, Compliance, and Verticals

LLM-as-judge makes evaluation cheap enough to run on every release, but a biased judge quietly passes regressions. This volume covers LLM-as-judge in production evaluation: eval rigs for video AI features, quality and cost gates, and the serving and cost side of running judges at scale. Written by Nikolay Sapunov, CEO at Fora Soft.

Read it on Amazon →Kindle & paperback · Fora Soft Video Engineering Handbook

Setting up LLM-as-judge to evaluate your video AI feature?

Share your outputs and quality criteria, and we will build an LLM-as-judge rig, calibrate it against human scores and report how well it agrees. 250+ video products shipped since 2005.

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