Introducing Eval Engineering: Turn Evals Into Production Guardrails
90% of AI agents never reach production, not because they don't work, but because teams can't trust their evaluation systems. Watch our CEO and co-founder, Vikram Chatterji, explain why traditional evals are broken and introduce eval engineering: a disciplined lifecycle approach to building, tuning, and deploying high-accuracy evaluations that become production guardrails. What you'll learn: – Why LLM-as-a-judge evals fail at scale (accuracy, cost, coverage) – The three core principles of eval engineering – The complete eval engineering lifecycle workflow – How Fortune 50 companies scaled from 1 to 47 agents in 8 months and went from POC to production 15x quicker – How to reduce evaluation costs by 97% while improving coverage Ready to become an eval engineer? Watch our free 5-part course: Lesson 1: https://www.youtube.com/live/HnDnMFUTj2Y?si=6dOI8QSuoRSzXv3t Lesson 2: https://www.youtube.com/live/aZz3ncrafRw?si=AYvr_Vr75zS6bw_F Lesson 3: https://www.youtube.com/live/lCAfEF_qQgQ?si=LFO5rXVPbW2NmIDs Lesson 4: https://www.youtube.com/live/I9jSJ5_MobA?si=aFcxNBKHF2e7qRUh Lesson 5: https://www.youtube.com/live/RMF8tT-wo8U?si=RVpj51xgTv0tSu_s Learn more about eval engineering: https://galileo.ai/evalengineering Try Galileo for free: https://app.galileo.ai/sign-up 0:00 - Introduction: The Two Core Problems 0:18 - Why Evals Are Broken Today 0:54 - The Solution: Eval Engineering 1:03 - Three Core Principles of Eval Engineering 1:24 - The Eval Engineering Workflow 1:27 - Step 1: Start with LLM-as-a-Judge 1:48 - The 70% Accuracy Problem 1:57 - Step 2: Loop in Subject Matter Experts 2:12 - Achieving 95%+ Accuracy 2:30 - Step 3: Fine-Tune Small Language Models 2:48 - From 10% to 100% Observability 3:03 - Step 4: The Continuous Adaptation Cycle 3:15 - Fortune 50 CPG Results: 15x Faster to Production 3:36 - The Trust & Control Problem 3:51 - Fortune 50 Telecom Results: 1 to 47 Agents 4:00 - Our Commitment to the Community 4:15 - Free Eval Engineering Course Announcement 4:21 - 2026: The Year of Trustworthy Agents