Multi-model generation with an LLM-as-judge scoring loop: choose two or more models (OpenAI + Claude), each writes a short article on your topic in parallel, then an independent judge model grades every article — blind to who wrote it — on clarity, accuracy, engagement, and structure, and crowns a winner.
No models added yet — add at least two to run the arena.
Judge = Claude Opus 4.8 when configured, otherwise GPT-4o.
This is the pattern behind reliable AI writing pipelines: don't trust one model's output — generate with several, then let an independent judge model grade them against an explicit rubric. The same LLM-as-judge loop drives the dashboard's article builder and our eval harnesses.
