Ship confidently with AI‑assisted UAT

Design, run, and verify end‑to‑end browser workflows

Describe scenarios in natural language. The agent stabilizes selectors, adds resilient waits, and produces signed artifacts for every run.

Agent UAT workflow illustration

What problem does Agent UAT solve?

Stop fighting brittle selectors and complex test maintenance

No more fragile selectors

Stop updating selectors before each release. The agent intelligently adapts to UI changes and heals broken tests automatically.

Natural‑language test authoring

Write test steps in plain English—no code required. Describe what you want to test, and the agent handles the implementation.

Built for CI/CD

Trigger multiple tests from a project webhook before every deployment. Scale to zero when idle, burst when needed.

How it works

Four simple steps from idea to verified deployment

Create tests
STEP 1

Create Tests

Describe flows in natural language, add steps, and link tests together for end-to-end journeys.

Add to project
STEP 2

Add to Project

Group tests into a project and manage shared test data, secrets, and webhooks securely.

Run with webhook
STEP 3

Run with Webhook

Trigger all tests via a single webhook on every deployment. Built for scale-to-zero and fast bursts.

View results
STEP 4

View Results

See pass/fail status and drill into screenshots and artifacts with signed URLs for every run.

Why teams choose Agent UAT

Built for modern teams that ship fast and need reliable testing

Tests can be written in natural language—no coding required.

Create multiple tests with step‑by‑step flows; link tests together.

Test data remains secure and does not leave your environment for AI training.

Intelligent Automation: Write your goal in natural language—the agent creates the steps and executes them for you.