Playwright can do more than verify that a chatbot page loads. It can drive realistic conversations, capture evidence and connect UI behaviour to an AI evaluation layer.
Separate execution from evaluation
Use Playwright to perform the journey and capture the conversation, while dedicated evaluators determine semantic correctness, grounding, policy compliance and business-rule adherence.
Build reusable scenarios
Represent critical journeys as structured test data so the same scenarios can run against different prompts, models, environments or agent versions.
Store evidence
Keep the user input, responses, tool activity, traces and evaluation results together. This makes failures actionable for both QA and engineering.
Put regression into release flow
Run critical AI scenarios in CI/CD and define explicit release criteria. The objective is not to make every AI result deterministic; it is to make important quality expectations testable and visible.
Need this applied to your AI system?
Turn the principle into an assessment, test strategy or engineering engagement.