9 articles tagged "agent reliability testing".
A golden dataset is the curated set of real tasks, with verified correct outcomes, that you measure your vertical agent against. For agentic
Eval-driven development (EDD) flips the agent build process: instead of writing the agent first and testing it later, you write the evaluati
Most agent teams buy eval tooling backwards. They shop for dashboards and leaderboard integrations before they've defined what "correct" eve
Agent simulation environments are controlled, repeatable sandboxes that let you run an AI agent against fake-but-realistic tools, APIs, and
Synthetic evals are cheap, fast, and infinitely scalable, but they flatter your agent. Real-world evals are messy, slow, and expensive, an
Guardrail testing means deliberately attacking your own AI agents to find where they break, leak, overspend, or take dangerous actions, bef
When a model provider ships a new version, your agent's behavior can shift overnight even though you didn't touch a single line of code. Tra
Run the identical prompt through the identical agent twice and you can get two different outcomes. This isn't a bug you can patch away, it'
An eval suite is the only thing standing between a demo that wows a buyer and an agent that quietly burns money in production. The hard part