Ship agent changes without crossing your fingers
Trust Lab is the evaluation layer that measures whether your agent is actually improving. Change a prompt, a tool, or a model — and see what it did to quality before it reaches a customer.
- Golden sets — a saved battery of real prompts with expected outcomes, rerun on every change
- Outcome matching — grade whether the result matched user intent, not just that it ran
- Shadow runs & scheduled checks — catch regressions before users hit them
- Model swaps, safely — prove a faster or cheaper model loses no quality on your own traffic
Without evals, you're compounding blindly — the agent might get faster at delivering the wrong thing. Trust Lab turns raw iteration into directional improvement.