Green Traces, Broken Agents: Catch It in Production, Prove the Fix Before You Ship
Your agent's dashboard is green. Every span returned OK. Meanwhile it refunded the wrong customer, cancelled an order nobody asked to cancel, and closed a ticket it never solved. Customers usually find these failures first.
In this live session, Kubit and Sparta show testing and observability working as one loop, using a customer support agent that issues refunds, changes orders and updates accounts.
Before launch: Arya Kanna (Co-Founder & CEO, Sparta) runs the agent in Worlds, exact working replicas of tools like Stripe and Zendesk. Worlds tests every scenario the agent can hit and shows every record it actually changed.
In production: Alex Li (CEO, Kubit) takes the agent's traces straight from the warehouse. Kubit labels every span, groups hundreds of runs by the execution path they took, and surfaces the failure patterns a green dashboard hides, along with the signal behind each one.
Closing the loop: we take a failure pattern Kubit found in production, turn it into a permanent test in Worlds, ship the fix with proof, and show how you confirm the pattern actually went away.
What We'll Cover
Why agents fail quietly when every trace looks green
Testing every scenario before launch, with a diff of every record the agent changed
Finding the failures that matter in production, ranked by how often they happen and what triggers them
Turning a production failure into a regression test, so it's caught before the next release
Q&A
Who It's For: engineers, product leads and data teams shipping agents that take actions for customers, like refunds, cancellations, order changes, account updates and ticket resolution.
For Attendees: everyone who registers gets access to Sparta's closed beta with 50,000 credits, and Kubit's first early-access cohort, open until Friday, October 30.