Monitor for issues in your AI application
Hey Emre Elbeyoglu ,
- Product
- Langfuse
- Sent from
- updates.langfuse.com
- Sent
Hey Emre Elbeyoglu, Reading traces one by one does not scale over time. That's where evaluators come in: they score traces for you, so the bad runs are surfaced automatically. We call this monitoring [https://langfuse.com/academy/monitoring?ref=onboarding_emails_v2_3_monitoring] and it represents the second step of the AI Engineering Loop. [https://langfuse.com/academy/monitoring?ref=onboarding_emails_v2_3_monitoring] Choose what to evaluate [https://langfuse.com/academy/evaluate/choosing-what-to-evaluate?ref=onboarding_emails_v2_3_monitoring] Don't try to cover every failure mode up front. Pick the one failure or signal you've already seen with your own eyes or do error analysis [https://langfuse.com/academy/monitoring/error-analysis?ref=onboarding_emails_v2_3_monitoring] on your traces to identify a failure mode. You can also review our template gallery [https://cloud.langfuse.com/project/~/evals?ref=onboarding_emails_v2_3_monitoring] to get inspiration. Set up your first evaluator [https://langfuse.com/docs/evaluation/overview?ref=onboarding_emails_v2_3_monitoring] Score every trace against one thing you care about. You can use LLM-as-a-judge [https://langfuse.com/docs/evaluation/evaluation-methods/llm-as-a-judge?ref=onboarding_emails_v2_3_monitoring], custom code evals [https://langfuse.com/docs/evaluation/evaluation-methods/code-evaluators?ref=onboarding_emails_v2_3_monitoring], or user feedback [https://langfuse.com/docs/observability/features/user-feedback?ref=onboarding_emails_v2_3_monitoring], and track the trend on a dashboard [https://langfuse.com/docs/metrics/features/custom-dashboards?ref=onboarding_emails_v2_3_monitoring] or use the scores to filter on interesting traces. Full detail in the evaluation docs [https://langfuse.com/docs/evaluation/overview?ref=onboarding_emails_v2_3_monitoring] and the academy [https://langfuse.com/academy/evaluate/choosing-what-to-evaluate?ref=onboarding_emails_v2_3_monitoring]. Best, Marc Co-founder, Langfuse (part of Clickhouse) Links: Roadmap [https://langfuse.com/docs/roadmap?ref=onboarding_emails_v2_3_monitoring], Docs [https://langfuse.com/docs?ref=onboarding_emails_v2_3_monitoring], Talk to us [https://langfuse.com/talk-to-us?ref=onboarding_emails_v2_3_monitoring], Example Project [https://langfuse.com/docs/demo?ref=onboarding_emails_v2_3_monitoring] You are receiving this email because you opted in to receive email from the list Onboarding Journey from Langfuse Langfuse, Langfuse GmbH, Oranienburger Strasse 91, 10178, Berlin, Germany Unsubscribe [https://app.loops.so/unsubscribe/cmv5q3x6a2x7501ui6r9t45s3/68a60e84a84c36110e706ac6d6b6c60f71b2047ecf182c5ce4d2cd8009b4f36c68aec531f49d2790ada4ef54bd28be66cf67e8b18e6fb8e925a6b363]
- Accession
- nse/langfuse/2026-10-12/3984
- From
- Marc Klingen · marc@updates.langfuse.com
- Sent
- 12 October 2026 · 20:00 UTC









