☑️ A curated list of tools, methods & platforms for evaluating AI reliability in real applications.

[NeurIPS 2025] AGI-Elo: How Far Are We From Mastering A Task?

A comprehensive, implementation-focused guide to evaluating Large Language Models, RAG systems, and Agentic AI in production environments.

Comprehensive AI Evaluation Framework with advanced techniques including Probability-Weighted Scoring. Support for multiple LLM providers and evaluation metrics for RAG systems and AI agents. To get full support evaluation service visit website

prompt-evaluator is an open-source toolkit for evaluating, testing, and comparing LLM prompts. It provides a GUI-driven workflow for running prompt tests, tracking token usage, visualizing results, and ensuring reliability across models like OpenAI, Claude, and Gemini.

VerifyAI is a simple UI application to test GenAI outputs

Multi-dimensional evaluation of AI responses using semantic alignment, conversational flow, and engagement metrics.

Pondera is a lightweight, YAML-first framework to evaluate AI models and agents with pluggable runners and an LLM-as-a-judge.

Clinical trial application for mental health benchmark evaluation of AI responses in multi-turn conversations. Guides users to understand AI interaction patterns and resolve personal mental health issues through therapeutic AI assistance.

Official public release of MirrorLoop Core (v1.3 – April 2025)