Resources · Documentation
Platform concepts, setup and workflows.
Everything needed to model your application, run your first suite and interpret AI analysis output.
Getting started
Create a project, environment and first suite.
Writing test cases
Structure, steps, expected results and tags.
Running automation
Execution profiles, retries and parallelism.
Reading evidence
Traces, console logs and network timelines.
What it means in practice
Outcomes your team can point to.
- Concept guides for projects, environments and suites.
- Reference for run statuses and evidence retention.
- Guidance on interpreting confidence values.
Need a walkthrough instead?
Book a session and we will guide your team through the platform.
Looking for platform controls? Review security & governance.