Natural-language authoring
Write the intent of a journey in one sentence and get a complete scenario, including edge cases you did not think of.
- Requirements and user stories
- Application URLs
- OpenAPI specifications
- Pull-request diffs
AI Testing
Describe what should work. TestMotive builds the tests.
Turn product requirements, user stories, application URLs, API specifications, pull-request changes and plain language into executable, maintainable tests.
Natural language input
Test signup for a new organization. Verify email, invite a teammate, and confirm the invited user receives the correct role.
8 test scenarios generated
Standard signup Invalid email Expired invite Role assignment Duplicate org name SSO fallback Rate-limited resend Cancelled invite
How the AI works
Generation, diagnosis and repair in one loop.
Root-cause analysis
Every failure arrives with evidence: the step that broke, the network trace, the console output and a probable cause.
- Product bug vs test bug
- Confidence scoring
- Screenshots and traces
- Linked recent changes
Self-healing
Renamed labels, moved buttons and restructured DOM are absorbed automatically, with every repair listed for review.
- Selector recovery
- Reviewable repair log
- No silent green runs
- Flakiness detection
Evidence
Every red run answers the question 'why?'
RUN-7412 · PR #219diagnosing
Checkout regression
- ✓Sign in
- ✓Add product to cart
- ✓Apply discount code
- !Submit payment
Probable cause
Payments service replied with HTTP 500 right after submission — a product bug, not a broken test.
confidence 96%area: checkout
Step-level video
Replay the exact run frame by frame.
Network trace
Requests, payloads and status codes.
Console output
Client errors captured in context.
Change linkage
The commits most likely responsible.
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