ComposalAgentic QA
Composal vs Checksum
Evaluate how a suite is derived and how new behavior gets covered. Composal offers explicit Scenarios and separate Discovery and Deep Scan workflows for mapping journeys and exploring failures.
Two workflows, side by side
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 →Checksum
AI-generated regression coverage
Checksum creates AI-generated Playwright and API tests and helps maintain regression coverage as an application changes. Its published workflow addresses test creation and ongoing suite maintenance.
What each tool does
“With setup” means you supply code or configuration. “Not confirmed” means support for this workflow needs checking with the vendor.
| Workflow | Composal | Checksum |
|---|---|---|
| Run browser journeys | Yes Run saved browser Scenarios and return recordings and reproducible Findings. | Yes Runs automated checks against application behavior. |
| Map application workflows | 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 | 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 | 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 | 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. |
Where each fits
Consider Checksum for its approach to generating regression coverage. Consider Composal when teams want to specify expected outcomes directly and investigate behavior beyond the saved journeys.
Try this evaluation
Provide a new feature with no historical traffic and an existing high-traffic flow. Compare the coverage created for each, editable expectations and failure evidence.
- 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?