Guide
AI agent testing →
Testing agents that plan, call tools, and take multi-step actions.
03 · Pillar
AI Agent Reliability
Testing systems that take actions, not just answer questions. Making multi-step, tool-using agents trustworthy: trajectory evaluation, tool-call accuracy, multi-turn testing, and the non-determinism problem.
Field note
Eighteen agents audited a live curriculum →
A multi-agent audit gauntlet — and the false error one agent was teaching.
Field note
Five pages, five agents, zero conflicts →
Coordinating parallel agents against one design file without merge chaos.
Tutorial
Build a Tool-Call Accuracy Test Harness for AI Agents →
Build a harness that tests an agent picks the right tool and arguments.
Tutorial
Test Multi-Turn Agent Conversations →
Test multi-turn agent conversations, including memory and state.
Guide
Why AI Agents Fail in Production →
The production failure modes of AI agents and how to catch them early.
Guide
Agent Trajectory Evaluation: Testing More Than the Answer →
How to evaluate the whole path an agent takes, not just its final answer.
Guide
How to Test AI Systems That Give Different Answers Each Run →
How to test non-deterministic AI without chasing noise.
Guide
How Reliable Should an AI Agent Actually Be →
How to set a real reliability bar for an AI agent, tied to its blast radius.
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