OpenGuide AI is an open-source AI evaluation platform designed to help developers systematically test and compare AI models on real-world tasks.

The platform aims to evaluate models across multiple dimensions, including answer quality, factual accuracy, instruction following, consistency, latency, and resource usage. It uses a repeatable evaluation process and presents results in a structured format so developers can understand each model’s strengths and limitations.

Our goal is to make AI model evaluation more accessible, transparent, and reproducible. By providing a clear comparison of model performance, OpenGuide AI helps developers make better-informed decisions when selecting open models for their applications.

The project emphasizes reproducible testing, transparent scoring, and practical evaluation rather than relying solely on model benchmarks or marketing claims.