neuron-evaluation-engineer

What problem does it solve?

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. This skill is used when users discuss evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or monitoring AI performance. It also triggers for tasks involving evaluator discovery, output configuration, result analysis, or building custom assertions.

Core Features & Use Cases

• Define Evaluators, Datasets, and Assertions to drive automated AI evaluations.
• Configure Output Drivers to capture results and enable analysis.
• Support dataset-driven testing with Array and JSON datasets.

Quick Start

Create your first evaluator by implementing a BaseEvaluator with a dataset, define run and evaluate methods, and execute the evaluation to generate a results summary.