Cases from the source documents
Journey documents become positive and negative scenarios, validation rules, branching flows, and final-state expectations, not just the happy path.
Go-live evidence, generated from real scenarios.
Lab0's Testing Agent runs realistic scenarios against the configured system, records failures and fixes, and produces the evidence teams need for acceptance and go-live. Coverage is generated from journey documents and live pages instead of written by hand.
Coverage that follows the journey.
Specs that match your repo
Generated Playwright specs follow the repository's own conventions, helpers, and page objects.
Failures classified and fixed
When a run breaks, the agent finds where, classifies the cause, and recommends the smallest safe fix with a command to verify it.
From journey documents to acceptance evidence.
These are the four suites the agent ran on the Adobe Experience Manager engagement.
Extract page objects
Live pages, DOM captures, and screenshots become resilient page objects with reliable locators.
Extract test cases
Journey documents become full-coverage scenarios with validation rules, branching, and API dependencies.
Generate specs
Cases and page objects become spec files written to the repository's conventions.
Debug failures
Failures are classified as environment, data, locator drift, waits, mocks, or product behavior, then fixed and re-verified.
10 days
Six months of test authoring, delivered in ten days.
On an Adobe Experience Manager customer-journey engagement for a leading private-sector bank, Lab0 delivered four automation suites in ten days for work estimated at six months of manual authoring. The output included generated Playwright coverage and review-ready evidence.
Read the case studyThe agent tests. People accept.
Go-live is a business decision. The agent makes the evidence complete and easy to review.
Evidence for every run
Results, failures, and fixes are recorded for acceptance review.
Linked to acceptance criteria
Scenarios trace back to the criteria set in planning and the requirement behind them.
Fixes are proposed, not hidden
The agent recommends the smallest safe fix and the command to verify it. A person decides.
Six agents. One implementation record.
Each agent picks up the requirements, decisions, and evidence the previous one left, so nothing is rebuilt between phases.
Testing Agent, common questions
- What is a Testing Agent?
- A Testing Agent generates and runs realistic test scenarios against a configured system, records failures and fixes, and produces evidence for acceptance and go-live readiness.
- What does it generate?
- Page objects from live pages and DOM captures, test cases from journey documents, spec files written to the repository's conventions, and classified failure reports with recommended fixes. On the AEM engagement the specs were Playwright.
- Has it been used on a real engagement?
- Yes. On an Adobe Experience Manager customer-journey engagement for a leading private-sector bank, Lab0 delivered four automation suites in ten days for work estimated at six months of manual authoring.
- Does it replace user acceptance testing?
- No. It produces the scenarios and evidence that make UAT faster to run and easier to sign off. Business users still accept the system.
Bring one journey that needs coverage.
We will look at your journey documents and test setup, and tell you quickly whether the agent fits.