
Dr. Aki Wijesundara
PhD in ML | Google AI Accelerator Alum

Manu Jayawardana
Exited AI Founder | Founder, TAI Labs
You’ll learn how to measure the six signals that matter most for production agents: task completion, tool-call accuracy, latency, cost per run, retry rate, and escalation rate.
You’ll also learn how to:
Build and maintain a golden test set
Cover happy-path, edge, adversarial, and regression cases
Grade deterministically where possible
Use and calibrate LLM judges
Track prompt and test-set versions
Turn every production bug into a regression test
Run repeatable checks before releasing agent changes
Free
A practical kit for testing, measuring, and improving AI agent reliability before production.