HOW TO EVALUATE AI AGENTS: FROM TOOL CALLS TO TASK COMPLETION

Summary from the TLDR Dev newsletter

Evaluating an AI agent requires more than checking whether individual tool calls are valid. Step-level scoring helps locate failures, while end-to-end scoring verifies that the environment reached the intended state. Production evals should report consistency, steps, and cost alongside success rate, then gate releases on evidence such as a database update, passing tests, or a merged PR.