Expertise

AI Evaluation and Content Intelligence

Evaluating generated content, retrieval quality, and AI-assisted decisions.

Capability statement
This CMS traces every LLM call (tokens, model, prompt, answer, cost) and scores AI-generated content before it's trusted — evaluation is built into the pipeline, not bolted on after.

Problems I solve

Low-quality AI-generated content
Poor retrieval relevance
Unsafe automatic application of AI changes
Lack of visibility into why an output was selected

Approach

Score generated content before publish
Trace every LLM call for cost and behavior auditability
Require grounding for evidence claims
Demote ungrounded claims rather than presenting them as fact

Full description

I work with AI systems where generation alone isn't enough — outputs need to be checked for grounding, relevance, structure and consistency. I explore evaluation pipelines using scoring, validation and human review.

Evidence standard

Strengths

A live content-scoring pipeline and per-call LLM cost/behavior tracing already running in this CMS