Knowledge Base
Searchable help and documentation for AURA AI and QA automation.
- Getting Started
What is AURA AI?
AURA AI is an intent-driven Automation Intelligence platform. Describe scenarios in plain English; AURA AI executes only when safe and deterministic.
Last updated: 1/15/2025
- Getting Started
How does intent-driven testing work?
You describe what you want to verify in natural language. AURA AI interprets intent, generates test steps, and runs only when execution is verifiable.
Last updated: 1/15/2025
- Getting Started
First steps with AURA AI
Set up your account, create your first intent, and run your first test. Quick start guide.
Last updated: 1/20/2025
- Platform Features
Natural language test creation
Write tests in plain English. No code required. Supported patterns and examples.
Last updated: 2/1/2025
- Platform Features
Safety gates explained
AURA AI runs only when intent is unambiguous and execution is verifiable. Learn how safety gates work.
Last updated: 2/1/2025
- Platform Features
Execution & scheduling
Run tests on demand or on a schedule. CI/CD integration and parallel execution.
Last updated: 2/5/2025
- Platform Features
Evidence & reporting
Screenshots, logs, and evidence for every run. Audit-ready reports.
Last updated: 2/5/2025
- Integrations
CI/CD tools (Jenkins, GitHub Actions, GitLab)
Integrate AURA AI with your pipeline. Webhooks, API, and status checks.
Last updated: 2/10/2025
- Integrations
Issue trackers (Jira, Linear)
Link test runs to issues. Sync status and evidence.
Last updated: 2/10/2025
- Integrations
Slack/Teams notifications
Get notified on failure or completion. Configure channels and filters.
Last updated: 2/10/2025
- Best Practices
Writing effective test intents
How to write intents that AURA AI can execute reliably. Clarity and specificity.
Last updated: 2/15/2025
- Best Practices
Test organization strategies
Organize intents by flow, feature, or risk. Naming and tagging.
Last updated: 2/15/2025
- Best Practices
Handling flaky tests
Reduce flakiness with explicit conditions and evidence-bound execution.
Last updated: 2/15/2025
- Use Cases
API testing
Use AURA AI for API and integration testing. Request/response validation.
Last updated: 2/20/2025
- Use Cases
UI testing
Web and mobile UI testing with intent-driven scenarios.
Last updated: 2/20/2025
- Use Cases
E2E workflows
End-to-end workflows across multiple systems. Best practices.
Last updated: 2/20/2025
- Troubleshooting
Common error messages
Frequent errors and what they mean. Resolution steps.
Last updated: 2/25/2025
- Troubleshooting
Debugging failed tests
Use evidence and logs to diagnose failures. Explainable failure output.
Last updated: 2/25/2025
- Troubleshooting
Integration problems
CI/CD or third-party integration issues. Connectivity and auth.
Last updated: 2/25/2025