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Evaluating generated output through structured checks, scoring and review workflows.
Evaluating generated output through structured checks, scoring and review workflows.
Content scoring before publish and eval cases for Alex OS's reasoning surfaces.
Content scoring before publish and eval cases for Alex OS's reasoning surfaces.
Alex applies structured evaluation workflows to score AI-generated content before it ships and to test reasoning surfaces in Alex OS.
AI Evaluation
This skill covers evaluating generated output through structured checks, scoring pipelines, and review workflows — used actively in production contexts, not just as a concept.
What it's used for
Two concrete applications: scoring content before it gets published, and running eval cases against the reasoning surfaces in Alex OS. Both are live, ongoing uses — not experiments.
How this shows up in practice
The AI content review workflow is a working example: an LLM-based pipeline that reviews and scores content before publishing. That project is the direct evidence base for this skill. Experience level is working knowledge — practical and applied, with confidence grounded in real use rather than theory.