AI Agent Evaluation Is the Foundation of Reliable Autonomy
AI agent evaluation frameworks turn impressive demos into evidence about which tasks a system can perform reliably, within limits, and at an acceptable cost.
The Refund Went Through. Twice.
Imagine a support engineer opening a refund agent's conversation history. The customer asked for a refund, and the agent replied politely that it had processed the request. Everything in the chat looks right.
Then the engineer opens the payment ledger. There are two refunds.
This is a hypothetical example, but the failure mechanism is straightforward: the first payment request committed, its response timed out, and the agent retried with a new transaction key. A grader reading only the conversation could award full marks while the business absorbs the duplicate payment.
That gap is why I put evaluation frameworks at the center of agent engineering. As soon as a system can change something outside the chat window, a convincing answer becomes an...
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