---
source_url: "https://applitools.com/platform/autonomous/"
title: "Applitools Autonomous: AI-Powered E2E Test Automation"
mirrored_at: 2026-08-28T03:02:05.090Z
host: applitools.com
cited_in_42a: true
mirror_canonical: "https://index.42a.ai/applitools.com/platform/autonomous/index"
---

> **Original source:** https://applitools.com/platform/autonomous/

Applitools Autonomous

## Build, run, and maintain tests without writing code

Autonomous lets QA and manual testers describe tests in plain English, then executes them with a Deterministic Language Model that produces the same result every time. Visual AI checks how every screen actually looks, not just whether the code ran. Wherever your agentic SDLC puts AI in the loop, Autonomous gives you a test result you can act on.

-   Deterministic AI
    
-   Embedded interactive browser
    
-   NLP-based test authoring
    
-   Codeless API checks
    

## Autonomous covers every stage of testing, no code required

From your first test to your five hundredth, Autonomous pairs plain-English authoring with a Deterministic Language Model and Visual AI. QA and manual testers get full test coverage that runs the same way every time, so a failure is a reproducible bug you can act on, not a rerun waiting to pass.

## Build tests without writing code

**Scan your site automatically  
**Enter your homepage URL, or a list of URLs, and Autonomous crawls your sitemap to build a starter test suite with Visual AI checkpoints already in place.

**Record real user flows  
**Walk through a flow once in the interactive browser. Autonomous turns every click and entry into an editable, plain-English step.

**Describe steps in plain English  
**Type what a step should do. An LLM turns your description into a full test step, fixes typos, and breaks complex actions into simpler ones. From there, the Deterministic Language Model takes over: the test runs the same way every time, so a failure means the UI broke, not that the AI interpreted the step differently on this run.

![](https://applitools.com/wp-content/uploads/2026/08/Autonomous-conditional-test-steps-for-login.png)

![](https://applitools.com/wp-content/uploads/2026/08/Autonomous-dashboard-results-for-healthcare.png)

## Keep tests running as your UI changes

**Visual AI instead of brittle IDs  
**Autonomous finds elements the way a person reads a page, so a class name or ID change doesn't break your test.

**One check covers the entire UI  
**Replace a long list of manual assertions with a single Visual AI checkpoint that validates the full page at once.

**Update hundreds of tests in one click  
**When a change is intentional, Autonomous groups every test it affects so you can update all of them together instead of one at a time.

## Cover functional, visual, API, and PDF testing in one flow

**Verify dynamic data  
**Combine visual checks with functional assertions on text, numbers, and element state, and connect them with logical conditions.

**Test PDFs like a web page  
**Open a PDF as a step in your flow and check it with the same Visual AI and text assertions you use everywhere else. Scanned PDFs aren't supported, since there's no underlying text to check against.

**Call APIs without code  
**Add an API step, set headers, params, and auth, and pull data into the rest of your flow without writing a script.

![](https://applitools.com/wp-content/uploads/2024/10/Autonomous-API-test-title-validation-failure-screenshot.png)

![](https://applitools.com/wp-content/uploads/2025/11/Pharma-website-schedule-plan-screenshot.png)

## Run tests on your schedule, not just on demand

**Plug into CI/CD  
**Run Autonomous tests automatically on every pull request, alongside the pipeline you already have.

**Schedule recurring runs  
**Set tests to run on a schedule so you catch changes from third-party content or user-generated data before your customers do.

**Build full suites  
**Connect individual tests into a suite that runs as a single command.

The agentic SDLC gap

## Don't let probabilistic AI validate your AI-generated code

Developers are using Claude, Copilot, and Cursor to build code 10x faster. But validating that code with probabilistic LLM agents creates a dangerous "AI Black Hole" where statistical guesswork leads to hallucinations, flaky CI pipelines, and high token costs.

Applitools shines a light into this black box. By pairing a Deterministic Language Model (DLM) with mature Visual AI, you get an objective, zero-variance governance guardrail for your development pipeline.

### Probabilistic AI testing

-   Runtime guesswork
    
-   Hallucinations
    
-   Flaky CI signal
    
-   High token overhead
    

### Deterministic AI testing

-   100% reproducible
    
-   Zero variance
    
-   Visual AI accuracy
    
-   Local privacy
    

## Applitools FAQs

Autonomous is a no-code testing tool that lets you generate, run, and maintain end-to-end tests for web apps without scripting. QA and manual testers can create tests by scanning a site, recording a flow, or describing steps in plain English.

No. Every part of the workflow, from creating a test to reviewing results, is built for plain-English authoring and point-and-click editing. Teams that do code can still use existing frameworks through Applitools Eyes.

Autonomous uses Visual AI to find elements the way a person would, instead of relying on locators tied to the DOM. When something does change, Autonomous groups related test failures so you can review and update them together instead of one script at a time.

Yes. You can combine functional, visual, API, and PDF steps in a single test flow to validate a complete user journey, not just one page at a time.

Autonomous is used by teams of different sizes across industries. It connects to your existing CI/CD pipeline so tests run automatically as part of your release process.

![](https://stagingapp15303.cloudwayssites.com/wp-content/uploads/2026/03/Applitools-logo.png)

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