Blog
Field notes from the EvalOps team—product updates, deep dives on telemetry and scorecards, and stories from the teams building with us.
Oct 15, 2025
Generic evaluation metrics only tell part of the story. Learn how to build domain-specific scorecards that capture the unique quality dimensions of your AI application, from retrieval accuracy to brand compliance.
Oct 12, 2025
GPT-4, Claude, Llama, Gemini—each model has strengths and weaknesses. Learn how to systematically evaluate multiple models against your specific use cases and build hybrid systems that use the best model for each job.
Oct 5, 2025
Traditional test-driven development doesn't translate to LLM applications. Learn how to build AI features with evaluation as the foundation, from first prototype to production deployment.
Oct 2, 2025
Retrieval-Augmented Generation introduces unique evaluation challenges. Learn how to measure retrieval quality, grounding, faithfulness, and end-to-end performance to build reliable RAG applications.
Sep 28, 2025
Traditional application monitoring falls short for LLM systems. Learn how to instrument production AI with evaluation telemetry, detect quality regressions before users do, and build confidence in every deployment.
Sep 22, 2025
Stop iterating on prompts by intuition. Learn how to build systematic evaluation feedback loops that turn prompt engineering into a data-driven discipline with measurable improvements.
Sep 20, 2025
Install the Community Edition CLI, capture your first trace, and see how telemetry flows into EvalOps scorecards.
Sep 15, 2025
Instrument your Python AI apps with the EvalOps SDK to automatically capture prompts, responses, and evaluation metadata.
Sep 12, 2025
How we keep trace capture trustworthy across local machines, CI, and dedicated environments—and why it matters for evaluation accuracy.
Jul 15, 2025
How we think about evaluation telemetry, governance, and the road ahead for the platform.