Independent AI Logic Evaluator & Systems Strategist
Evaluated 40–60 frontier LLM outputs per day (e.g., GPT-4o, Claude 3.5/3.7, Gemini 1.5 Pro, LLaMA 3, DeepSeek) by auditing logical flow, semantic consistency, and constraint adherence. Produced written justifications and weekly report volumes (25–35 fully reasoned reports per week) under compressed timelines without relying on automated writing tools. Maintained a personal taxonomy of 14+ reasoning failure modes to standardize and accelerate evaluation across multi-turn prompt chains. • Audited multi-turn prompt chains for contextual hallucinations, structural drift, and compounding failures • Assessed constraint adherence and detected false-confidence signals in model outputs • Applied methodology across conversational agents, code generation tools, document summarizers, multi-agent pipelines, creative generation systems, and RAG-based retrieval applications • Standardized error categories (e.g., context bleed and instruction-boundary collapse) for repeatable evaluation