Glossary
Agentic testing uses an AI agent to interpret a test objective and make decisions while interacting with an application. Scope varies: some tools draft tests, some execute them, and some propose exploratory tasks.
An agent can reduce the work needed to describe browser interactions, but its output still needs a meaningful expected outcome. Plausible actions alone do not establish that the user’s requirement was met.
Teams define the objective and fixtures, inspect the generated steps and review results from real execution. They evaluate ambiguous targets, actual failures and harmless UI changes separately.
Zerocheck’s browser agent works from a flow description or checklist. It drafts editable steps, resolves controls and evaluates requested outcomes while a real browser runs the test. Run records expose the exact YAML, step screenshots, errors and healing history.
A draft is a proposed test, not proof that the application works. Zerocheck executes the drafted steps in a real browser and reports passing, failed or unresolved items. Editing the test changes the revision; inspect a result for the revision you intend to keep.