Digital asset

Agent Evaluation and Reliability Kit

Dr. Aki Wijesundara

Dr. Aki Wijesundara

PhD in ML | Google AI Accelerator Alum

Manu Jayawardana

Manu Jayawardana

Exited AI Founder | Founder, TAI Labs

See all products from TAI Labs

What You’ll Learn

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.