Learn to build agents that survive production.
Most agent courses stop at "call the API." This one starts where they stop: evaluation, training loops, error prevention, and verification — the things that decide whether your agent ships or gets quietly turned off. Self-paced, free, with a live lab.
You've built an agent that works in the demo. Learn how to measure it, train it on real failures, and prove it's ready.
You're evaluating vendors or rolling out your first workflow. Learn what questions to ask and what "reliable" actually means.
You run agents at scale. Learn how evaluation, integrity verification, and monitoring fit together in one lifecycle.
Six modules. Reading plus a live lab.
Work through in order, or jump to what hurts. The lab scores you on the same axes we score production agents.
What makes an agent different from a chatbot, where they break, and why evaluation comes before deployment.
Six evaluation axes — accuracy, grounding, hallucination, policy, speed, tool use — and how to score real work.
Helpdesk Arena — a live benchmark. Do the same support tasks agents do, get scored on the same axes, see where you land.
Why a right answer without evidence is still a hallucination — and how grounding is enforced in production.
Deep-dive: how agent claims are captured, graphed, and verified deterministically — no LLM-as-judge.
Wire your agent into the Arena API: register, run tasks, submit answers, read your scorecard programmatically.
Team workshops on your agents, your data.
A working session, not a lecture. We take one of your real agent workflows, benchmark it live, and leave your team with a scorecard and a training plan.
Your team learns to define quality axes for your tasks and builds a first benchmark against a live agent.
Evaluation plus the improvement loop — automated training runs, integrity verification, and gated deployment on a real workflow.
Illustrative scores from a support-agent workshop. Your numbers come from your tasks.