Evidence-based evaluation of 27 real-world ChatGPT Go cases, covering instruction following, context handling, reasoning, tool use, and LLM response quality.
Practical portfolio for AI response evaluation, data quality, annotation QA, and evidence-based evaluation.
Practical AI response evaluation portfolio with evidence-based scoring, worked reviews, and controlled response comparisons
A structured AI evaluation project comparing model responses for factual accuracy, relevance, instruction-following, and clarity.
Model-agnostic AI response evaluation handbook with evidence-based rubrics, calibration guides, case studies, and reusable templates
Structured, deterministic workbench for human evaluation of LLM responses using reusable rubrics, issue taxonomy, JSON reports, CLI, and automated tests.
SentinelAI is a production-grade AI support agent that simulates real-world enterprise systems handling ticket retrieval, intelligent reasoning, safety guardrails, and response evaluation in a fully autonomous workflow.
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