Core Concepts
AI testing agent
Overview
AI testing agents are catalog specialists that generate and execute validation for accessibility, API contracts, security surfaces, E2E journeys, load, and more. They operate under organization policy with human review of generated assets before release-critical reliance.
Agents are not a replacement for your entire QA practice; they extend coverage with governed automation aligned to Zof Console labels and API resource names.
Who should read this
- New users, technical writers, and integration engineers aligning internal documentation with Zof terminology.
Prerequisites
- Basic familiarity with Zof Console navigation
- Organization member access
When to use this workflow
- Onboarding engineers unfamiliar with Zof terminology
- Writing internal runbooks that align with Console UI labels
- Mapping customer CMDB or ITSM fields to Zof entities
Step-by-step procedure
Locate in Console
Navigate to Automation → AI Agents.
Use the command palette (⌘K or Ctrl+K) to search for related screens by name.
Use in workflows
Reference this entity when configuring runs, policies, integrations, or reports.
Follow related documentation links below for step-by-step operational procedures.
Verify understanding
Confirm your team uses the same term in Jira/Linear tickets and internal docs.
Escalate terminology questions to your Zof administrator or account team.
Key concepts
- AI testing agent
- Catalog agent specialized for validation tasks, accessibility, API, security, E2E, and more, enabled per organization.
- Where to find it
- Automation → AI Agents
Best practices
- Match Console UI labels in internal documentation for reduced onboarding friction
- Link requirement and test IDs when traceability is required for audits
- Do not conflate similar terms (e.g., test run vs test result vs test case)
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