Break it in the lab.
Not in production.
Turn real conversations into scenarios the agent must always handle correctly. Run them on every change — and catch regressions before a single user does.
Works on top of the Product Agent.
The Trust Lab dashboard: pass rate, scenario health, and every run across your suites.
Lock in the behavior your users depend on.
Import real conversations
Pull the conversations that matter from production or the Playground. Evals and mock results are auto-generated from what actually happened.
Define what correct looks like
Refine the evals on each turn: what the agent must say, which actions it must call, where it must navigate.
Run on every change
Group scenarios into suites, schedule them daily, and watch the dashboard. A falling pass rate is your regression alarm.
Playground is where you experiment. Conversations show what users did. Trust Lab is where correct behavior gets locked in.
Every failure, explained.
A failed run shows each turn with the agent's actual response next to the eval that judged it — what was expected, and what the agent said instead.
Define correct. Detect drift.
Start from real conversations
Import conversations from production or the Playground — search by user, message, or action. Evals and mock results are auto-generated from what actually happened.
Author multi-turn scenarios
Or build test conversations from scratch: script each turn the user takes, and attach the evals that define a correct response.
Grade what the agent says
LLM-as-Judge for nuanced criteria in plain English, plus Contains, Exact Match, and Regex when you need fast, deterministic checks.
Grade what the agent does
Tool-use evals verify behavior, not just words: the right action called with the right parameters, the right route navigated, the right knowledge retrieved.
Test as any user
Set the simulated user's plan, role, and locale — so plan gating, role-based behavior, and localized responses get tested with real-world context.
Organize into suites
Group scenarios by journey or feature area. Suites are the unit you run, schedule, and track — each with its own pass rate and health.
Run on a schedule
Hourly, daily, weekly, or custom cron — regression detection runs whether anyone remembers to or not, in the timezone you pick.
Drill into every run
Every execution is logged with outcome, pass rate, and trigger. Open a failed run to see the exact turn, the eval that failed, and what the agent actually said. Compare runs side by side to catch flaky behavior.
Never ship the same bug twice
When a real conversation goes wrong, import it immediately. It becomes a regression test that ensures the same mistake can never happen again.
Ready to see Trust Lab in action?
Book a live walkthrough and see real conversations turned into a regression suite that runs while you sleep.
Get a demoWhat teams lock in with Trust Lab.
Ship changes without fear
Change a prompt, an action, or the knowledge base — then rerun every suite and see exactly what it did to quality before users feel it.
Swap models, keep quality
Prove a faster or cheaper model holds the line on your own scenarios — evidence from your product, not a public benchmark.
Catch drift overnight
Knowledge updates, API changes, model updates — a falling pass rate is your signal that something the agent used to get right has broken.
Trust Lab runs the tests. You ship knowing what still works — and what just broke.
Regressions don't announce themselves. Trust Lab does.
Define what the agent must always get right — and know within a day when anything breaks it.