Step 1
Learn the product
We review the product, users, risky flows, staging access, logs, and release goals.
How it works
A QA process built for AI products and technical teams.
Comprehensive AI product coverage in 30 days, on a flat monthly price, or you do not pay. We make the trust mechanics visible before work starts.
Step 2
Match the test setup
We check that staging is close enough to production to make test results useful.
Step 3
Plan the coverage
We agree what to test, which devices and browsers matter, and what counts as a serious bug.
Step 4
Run and review
We run the checks, review unclear AI answers with humans, and retest fixes.
Step 5
Report clearly
Every bug includes steps, logs, video, screenshots, expected result, actual result, and severity.
Bug-report standard
No vague tickets. No noisy handoffs.
Every defect is written so an engineer can reproduce it, judge severity, and decide the next action without asking for missing context.
Clear title and severity
Repro steps
Expected and actual result
Logs or console output
Video or screenshots
Environment and test data
Owner-ready triage notes