How to make your AI agent production-ready 🚀

Agents often fail in ways you can’t see. These hidden mistakes silently rack up compute costs, spike latency, and cause inflexible behavior that collapses in production. This session introduces the Agent GPA (Goal-Plan-Action) framework, available in the open-source TruLens library. Benchmark tests show that the Agent GPA framework consistently outperforms standard LLM evaluators, providing teams with scalable, trustworthy insight into agent behavior:

• 95% error detection (vs. 55% baseline methods)

• 86% accuracy in pinpointing where an error occurred (vs. 49% baseline methods)

• Human reviewers using the GPA framework caught 100% of the internal agent errors in the TRAIL/GAIA dataset

👋 Tech Talk: Evaluating AI Agent Reliability
Who: Anupam Datta (Snowflake) and Josh Reini (Snowflake)
Where: Virtual
When: Jan 21, 10:00 AM PST (Please double-check your local time. Can't make it live? Register anyway to receive the webinar recording.)

What you’ll learn: How to inspect an agent’s reasoning steps, detect issues like hallucinations, bad tool calls, and missed actions. You'll leave knowing how to make your agent truly ready to deploy and scale.

👉 Register now and get the recording if you can’t make it live