A/B Testing: Know whether your AI agent changes actually worked
When you update an actionbook, swap a model, or refine your knowledge base, you expect improvement. But "no obvious regressions" and "statistically meaningful improvement" are two different things. Without rigorous measurement, you can't tell whether a change moved your metrics — or whether the movement you're seeing is just noise.
Gradual Rollout gives you a safe path to ship. A/B Testing answers the harder question: did the change actually work?
A/B Testing lets you state a hypothesis upfront, run two versions of your agent against real traffic, and receive a statistical reliability score — so you know whether a result is real before you fully commit to a change.
How it works
- Hypothesis-driven setup: Before the test starts, define your hypothesis and select a target metric. The system estimates the number of conversations needed to reach statistical confidence and how long that will take at your current traffic volume.
- Parallel traffic split: Two versions run simultaneously against real conversations. Traffic is divided between them for the duration of the test, and each version's metrics are tracked independently.
- Statistical reliability score: When you end the test, results are evaluated against your hypothesis at three tiers — High (reliable enough to act on), Medium (trending but not confirmed), or Low (insufficient data to draw a conclusion).
- AI analysis report: Every completed test generates a report covering what changed, what improved, which secondary metrics moved, and suggested next steps — turning test results into a roadmap for the next iteration.
- Secondary metric monitoring: Metrics that shifted in the wrong direction are flagged with their own reliability score — so you can distinguish a real tradeoff from noise before making a decision.
A/B Testing is part of Trust OS 2.0 alongside Gradual Rollout. Use Gradual Rollout to limit blast radius when shipping a change. Use A/B Testing to confirm it moved the metric you care about.