Glossary
AI testing can mean testing an AI system or using AI to help test software. In browser automation, it commonly describes AI-assisted authoring, target resolution or semantic assertions.
The term covers different products and does not establish which parts are deterministic, what the agent is allowed to change or whether an assertion is meaningful.
Teams ask what input the system requires, how it handles uncertainty and what happens when a requirement fails. They review an actual result and a deliberately broken flow before adopting it.
Zerocheck uses AI to draft browser steps, interpret unfamiliar interactions and evaluate semantic expectations. Supported explicit assertions use observable browser signals. The user-facing result includes the test that ran and per-step evidence, rather than a general AI confidence score.