Free Lesson
From Prompt to Insight: LLM Tracking via LangFuse
45 min
Nov 14, 2025 5:00 PM
Virtual (Zoom)
In this video
What you'll learn
Trace and Debug Any LLM Pipeline
Learn how to use LangFuse to visualize prompt flows, token usage, and performance so you can debug & optimize LLM apps.
Measure What Matters: Evals for Quality
Use structured evals to score responses, catch regressions, and track progress - Just like OpenAI and Anthropic.
Close the Feedback Loop
Use LangFuse to merge feedback, judge scores, and data into prompt iterations - turning intuition into measurable gains.
Why this topic matters
AI products don’t fail because of bad ideas they fail because of invisible errors and unmeasured quality. LangFuse bridges the gap between what you think your AI does and what it actually does in production. In this Lightning Lesson, you’ll master the practical workflow for tracing, evaluating, and continuously improving your LLM applications using the same open-source.
You'll learn from
Aki Wijesundara, PhD
AI Founder & Educator | Google AI Accelerator Alum
Previously at
