Some event recordings are available here: https://github.com/hellovai/ai-that-works
🦄 ai that works: agent observability
In this episode, we will dive into AI agent observability and answer a question every production engineer eventually faces: how do you diagnose why an autonomous agent went off the rails three days ago?
When you are dealing with non-deterministic tools, old-school debugging habits like inserting print("here") statements fails to scale. We will break down the essentials of modern agent tracking, from implementing structured logging for complex tool calls to establishing robust tracing that allows you to replay and reconstruct an agent's exact decision tree.
Meet the Speakers🧑💻
Meet Vaibhav Gupta, one of the creators of BAML and YC alum. He spent 10 years in AI performance optimization at places like Google, Microsoft, and D. E. Shaw. He loves diving deep and chatting about anything related to Gen AI and Computer Vision!
Meet Dex Horthy, founder at HumanLayer and coiner of the term Context Engineering. He spent 10+ years building devops tools at Replicated, Sprout Social and JPL. DevOps junkie turned AI Engineer.
Some event recordings are available here: https://github.com/hellovai/ai-that-works