Evaluate AI. Improve trust.
EvalLoop AI helps you test, evaluate, and understand AI-generated responses using structured quality metrics, automated evaluation, and actionable insights.
AI should be measurable.
Modern AI systems can generate thousands of responses in seconds. EvalLoop AI gives you a structured way to understand whether those responses are actually useful, accurate, relevant, complete, and safe.
AI output is easy to generate. Quality is harder to measure.
A response can sound convincing while still containing factual errors, missing instructions, irrelevant content, or unsafe information.
Turn AI responses into measurable quality signals.
EvalLoop AI analyzes responses across multiple evaluation dimensions and presents the results in a clear interface.
Build AI systems you can trust.
Test prompts, compare outputs, identify weaknesses, and continuously improve your AI applications.
From prompt to quality signal.
EvalLoop AI creates a simple evaluation loop around your AI-generated responses.
Provide the instruction or task given to the AI.
Add the response generated by your AI model.
Evaluate the response against quality dimensions.
Receive scores, issues, explanations, and recommendations.
Multiple signals. One quality view.
Evaluate AI responses across the dimensions that matter for real-world AI systems.
Factuality
Identify unsupported claims, inaccuracies, and potential hallucinations in AI-generated responses.
Instruction Following
Check whether the AI followed the user's requirements and constraints.
Relevance
Measure how directly the response addresses the requested task.
Completeness
Identify missing information and incomplete responses.
Safety
Detect potentially unsafe, harmful, or policy-sensitive response patterns.
Fluency & Overall Quality
Evaluate clarity, coherence, readability, and the overall usefulness of an AI response.
Your AI quality at a glance.
A focused workspace for evaluating individual responses, comparing outputs, and understanding quality signals.
Evaluation #001
One requested detail was not directly addressed in the generated response.
The response is relevant and mostly accurate. It follows the main instruction but could provide additional detail to fully satisfy the request.
Built for the AI evaluation loop.
Start with the web application. A downloadable desktop application is planned for a future release.
Start free. Evaluate more.
EvalLoop AI is designed to be accessible while giving users a practical way to experiment with AI evaluation.
Explore AI evaluation without an upfront subscription.
- + AI response evaluation
- + Core quality metrics
- + Evaluation insights
- + Limited usage
- + Evaluation history
Create your EvalLoop account.
Save evaluations, compare AI responses, and build a personal history of your AI quality experiments.
Questions, answered.
EvalLoop AI is an AI evaluation platform designed to help users analyze the quality of AI-generated responses across dimensions such as factuality, relevance, instruction following, completeness, fluency, and safety.
EvalLoop AI is planned with a free-to-use tier that includes usage limits. Additional capabilities may be introduced in future versions.
The initial application focuses on evaluating text-based AI responses. Future versions can expand into multimodal evaluation including vision, speech, and other AI outputs.
The evaluation application can connect to supported language models through its evaluation backend. The model layer can evolve independently from the EvalLoop interface.
A response comparison workflow is planned for the application, allowing users to evaluate multiple outputs against the same prompt or rubric.
The first version is designed as a web application. Desktop downloads can be introduced in a future release.
Don't just generate AI. Evaluate it.
Build a stronger AI quality loop with measurable, explainable evaluation.