# Composal vs Testers.ai

Evaluate how much of the QA process you need the product to coordinate. Composal concentrates its public QA workflow on using a running app, checking Scenarios and reporting reproducible Findings.

## Composal

Composal sends AI browser agents to use your running web app and check the outcomes you care about. Define journeys as plain-English Scenarios, map existing flows with Discovery, or explore for bugs with Deep Scan. Runs keep recordings and reproduction steps so your team or coding agent can investigate a Finding.

[Verify documentation](https://composal.com/docs/verify)

## Testers.ai

AI test management and execution

Testers.ai presents CARBON and its AI test manager Jay as a way to coordinate testing work. Jay coordinates testing agents through coding-agent workflows or CARBON Cloud, covering planning, execution and reporting.

## What each tool does

| Workflow | Composal | Testers.ai |
| --- | --- | --- |
| [Run browser journeys](https://composal.com/product/scenarios) | ✓ Yes: Run saved browser Scenarios and return recordings and reproducible Findings. | ✓ Yes: Runs automated checks against application behavior. |
| [Map application workflows](https://composal.com/product/discovery) | ✓ Yes: Discovery maps key application areas and user journeys. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |
| [Explore for unexpected issues](https://composal.com/product/deep-scan) | ✓ Yes: Deep Scan explores the running application and reports reproducible issues. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |
| [Describe checks in plain English](https://composal.com/product/scenarios) | ✓ Yes: Author Scenarios around the intended user outcome, then review the steps and expected results. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |
| [Run or inspect from a terminal](https://composal.com/product/cli) | ✓ Yes: Use the CLI to start and inspect verification runs and their Findings. | – Not confirmed: Check whether this product includes this workflow in your intended plan and setup. |

With setup means you supply code or configuration. Not confirmed means support for this workflow needs checking with the vendor.

## Where each fits

Consider Testers.ai when its AI test-manager workflow fits your organization. Consider Composal when the immediate need is browser evidence for a pull request, release or exploratory session.

## Try this evaluation

Use a release with several changed journeys. Compare how each tool turns the brief into coverage, distinguishes failures from setup blockers and hands evidence back to engineering.

### Coverage

Which user outcomes must this release prove, and which specialist checks must stay in your existing stack?

### Setup

Who prepares accounts, test data, permissions and access to the deployment being tested?

### Evidence

Can the engineer reproduce a reported failure from the recording and steps, without asking the tester to investigate again?

### Ownership

Who updates the checks when the product changes, and can the team review what a passing result actually proves?

## Related comparisons

- [Composal vs mabl](https://composal.com/compare/composal-vs-mabl.md)
- [Composal vs Tricentis Testim](https://composal.com/compare/composal-vs-testim.md)
- [Composal vs Autify](https://composal.com/compare/composal-vs-autify.md)

[All comparisons](https://composal.com/compare.md)