Validator AI

Validator AI is a validation tool for AI pipelines that analyzes prompts, datasets, and model outputs to ensure consistency and safety. It targets developers, data scientists, QA engineers, and researchers who embed AI in products or experiments. The tool operates as a specification driven validator with configurable rules.
It accepts an input payload and a set of validation rules, performs schema checks via JSON Schema, runs safety checks against a curated list of disallowed content, verifies formatting and required fields, and returns a structured report with an overall score and a list of issues.
Its value lies in batch validation capabilities, easy integration into CI pipelines, support for multiple data types, and the ability to export reports for compliance or documentation. The system is designed to be extendable with custom validators and domain specific rule sets, enabling teams to enforce internal standards and regulatory requirements.
Use cases include prompt engineering for chatbots, data pipeline validation, model testing experiments, and research QA. The tool helps identify data mismatches, unsafe content, and formatting errors before deployment.