Humanloop
An AI development and observability platform that enables teams to build, evaluate, monitor, and improve large language model applications through prompt management, human evaluation, experimentation, tracing, and production analytics.
Explore more about Observability Tools
Related terms
The practice of monitoring, tracing, and analyzing AI systems to understand their behavior, performance, reliability, and operational health in production.
Experiment TrackingThe process of recording and managing information about AI experiments, including datasets, models, hyperparameters, code versions, metrics, and outcomes to enable reproducibility and comparison.
Human EvaluationAn evaluation method in which human reviewers assess the quality of AI system outputs against defined criteria such as correctness, relevance, helpfulness, safety, or fluency, providing judgments that complement or validate automated evaluation metrics.
Distributed TracingAn observability technique that tracks requests as they flow across multiple distributed services to measure latency, diagnose failures, and analyze system behavior.