An agent for the testing nobody has time for. It derives test scenarios from your requirements and from what changed, runs them in a test environment, reproduces a reported defect step by step, and writes a report an engineer can act on without asking questions.

Regression testing is skipped under pressure. The release is due, the manual pass takes two days, and the team tests what changed and hopes for the rest. Automated suites help until they rot: tests fail for no reason, people stop trusting them, and a real failure hides among the noise. Bug reports arrive as "it doesn't work", and an engineer spends an hour learning how to make it fail.

This page describes a workflow we propose to build as a custom project. It does not exist as software yet. We use this approach on our own work: the checks behind this website run a browser against every changed page, and the agent application has an automated test suite. A packaged QA agent for a client's product and test environments is not built.

02In practice

How One Request Moves Through

An example of one case, in 6 steps. The same steps play in the picture at the top of this page.

Change submitted

A pull request changes the checkout's address form.

Scenarios chosen

The agent selects the address scenarios and the critical checkout path, and says why.

Tests run

They run in the test environment with test accounts. One fails on a long postcode.

Failure confirmed

The failure repeats on three runs, so it is not noise.

Defect reported

A report gives the steps, the input, a screenshot and the expected result.

Coverage stated

The summary lists what passed, what failed and that payment was not tested.

03QA agent

Six jobs it carries through

Scenario design

Derives scenarios from requirements.

From stories and acceptance criteria
Edge and failure cases included
Linked to the requirement each covers
Reviewed by your team

Works inRequirements

Where it stopsScenarios trace to a requirement, not to the code.

Change-based selection

Chooses what to run for a change.

Reads what a change touched
Selects related scenarios
Always includes your critical paths
Explains the selection

Works inRepository, test catalogue

Where it stopsCritical paths run every time.

Execution

Runs tests in a test environment.

In a browser or through the interface
With test accounts and data
Screenshots and logs kept
Never against production data

Works inTest environment

Where it stopsIt runs only in environments you designate.

Defect reproduction

Turns a vague report into steps.

Tries to reproduce from the description
Records exact steps and data
Notes the environment and version
Says when it could not reproduce

Works inBug tracker

Where it stops"Could not reproduce" is reported honestly.

Flaky-test triage

Separates real failures from noise.

Reruns to check consistency
Flags tests that fail intermittently
Does not disable or delete them
Lists them for an owner

Works inCI pipeline

Where it stopsIt reports a flaky test. It does not silence it.

Clear reporting

Reports what an engineer needs.

What passed and failed
Steps, expected and actual
Evidence attached
What was not tested

Works inReporting

Where it stopsThe report says what was not covered.

→Book a meeting

Walk One Real Case Through It

Thirty minutes, one case from your own process. We map it against the workflow on this page and tell you plainly what can be reused from our demonstrations and what has to be built for your systems.

Book a 30-minute call Request a quoteBring one real case. No slide deck on either side.

04The problem

What Goes Wrong Without It

Regression skipped

There is time to test the change, and nothing else.

Suites nobody trusts

Tests fail at random, and failures are ignored.

"It doesn't work"

A bug report with no steps, no data and no environment.

Tests written last

Scenarios are invented after the code, to match it.

Only the happy path

Nobody tries the empty field or the double click.

Testing in production

The only realistic environment is the live one.

05Systems

Where It Connects

The systems named here are the kind this agent works with. Which ones it connects to in your case is settled in the scope.

Test environment

Staging or a dedicated test system

Requirements

Stories, acceptance criteria and specifications

Repository and CI

What changed, and where tests run

Bug tracker

Jira
Linear
GitHub Issues

Test data

Accounts and data made for testing

Reporting

Test results and coverage summaries

06Operating boundaries

It Tests in Test Environments and Reports What It Did Not Cover

The agent runs only in environments you designate, with accounts and data created for testing. It does not touch production data and it does not change product code.

A test report is only useful if it is honest about its limits. Every report states what was run, what failed with evidence and what was not tested. An intermittent failure is flagged for its owner and never quietly disabled.

Test environments and test data only
Scenarios traced to requirements
Critical paths always run
Flaky tests flagged, not silenced
Coverage gaps stated
No changes to product code

07Questions

Asked Before the First Call

It takes over repetition: regression passes, reproducing defects, checking every changed page. Exploratory testing, judging whether something feels right and deciding what matters to users remain human work, with more time available for it.

The engineering agent changes product code to complete a task. This agent does not. It designs and runs tests, reproduces defects and reports, which keeps the one who checks separate from the one who builds.

SEO monitoring checks a public site for search-related regressions. QA tests whether an application behaves as specified, including flows behind a login, in a test environment before release.

Not as software yet. This page describes a proposed workflow. We use this approach on our own work: the checks behind this website run a browser against every changed page, and the agent application has an automated test suite. A packaged QA agent for a client's product and test environments is not built. A project starts by mapping your process, then proving the first steps on test data before anything touches a live system.

Start a project

Name Your Five Critical User Paths

The ones that must never break. Automating those, and running them on every change, is the first step.

Start an AI agent project Book a free 30-minute consultation

Response within 24 hoursFree consultation and scopingNDA available on request

AI QA and Regression Testing Agent Development