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Test a browser-using AI agent by giving it observable acceptance criteria, having it exercise the running application, and checking meaningful screenshots alongside behavioral evidence. A screenshot shows what appeared on screen at one moment; it does not prove that a server saved a value, created an order only once, or completed another application-side effect. Use independent state checks where the task warrants them, then turn stable checks into repeatable tests.
Define what success means before the agent starts
Write down what the agent must do and how you will determine whether it succeeded. Avoid instructions such as “make sure the page works”: they leave success open to interpretation. Specify the application, journey, expected result, relevant edge cases, viewports, and whether the agent should repair defects it finds. Visual Studio Code’s browser-agent guidance recommends defining the journey and expected result, accounting for edge cases and viewports, and repeating checks after a fix (Use browser tools with agents; Build and validate a web app with browser tools).
- Application and starting point: How should it locate or start the app, and which URL or route should it open?
- Journey: Which actions should it take, in what order, and with what input?
- Observable result: What should be visible or otherwise verifiable when the journey completes?
- Edge cases: What should happen for invalid input, cancellation, empty data, or another relevant boundary?
- Viewports: Which desktop, mobile, or other sizes matter?
- Repair scope: Should the agent only report a defect, or may it change the application and rerun the checks?
Make each criterion concrete enough to pass or fail. For example: “After saving the profile, reload the page and confirm the new display name remains”; “Submitting an invalid email shows an inline error”; or “Cancel restores the previous value.” These criteria tell you what evidence to collect and prevent a polished-looking screenshot from substituting for a functional result.
Have the agent use the live application
An agent that only writes a test, reasons about code, or describes a page has not shown that it exercised the interface. Use a browser automation interface to navigate the running app, inspect its accessible content, interact with controls, and observe the resulting state.
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Choose an interaction method that fits the workflow
Playwright’s CLI is designed for coding-agent workflows and documents commands for navigation, clicks, typing, element snapshots, and screenshots. Its documentation distinguishes the concise CLI workflow from MCP, which can suit specialized loops that benefit from persistent state and iterative reasoning (Playwright coding agents). Selenium’s guidance recommends checking locators against the running application; a small throwaway script can help inspect candidate elements using the same stack as the eventual test (Using AI coding agents with Selenium).
Choose based on the actual task rather than assuming one interface is universally best. Consider whether the agent needs a fresh isolated session or an authenticated existing browser context, whether a concise command workflow is enough, and whether your project already relies on a Selenium stack. VS Code documents isolated and existing-browser session choices, while Playwright discusses CLI and MCP workflows in its agent guidance.
Verify interaction, not just generated code
Ask the agent to perform the journey against the live page and report the steps it completed. When a locator is ambiguous or an interaction fails, inspect the running page and confirm the target element rather than guessing from source code. Keep the observed browser state and any errors available for review.
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Capture screenshots at meaningful checkpoints
Capture evidence after state transitions that matter, not just once at the end. Useful checkpoints include after navigation, after a form submission, after an error appears, after a successful save, and at relevant responsive sizes. A full-page screenshot helps review page layout; a screenshot of a focused element can document a particular component.
For every image, record which acceptance criterion it supports and what state it shows. Retain the original artifact so another reviewer can inspect it. Playwright’s CLI documentation supports screenshots of the current page or a referenced element, and its agent example includes screenshots for successful and failing scenarios (Playwright coding agents). VS Code’s guidance also covers desktop and mobile screenshots and reporting results by criterion (Use browser tools with agents; Build and validate a web app with browser tools).
A screenshot is a visual record of a particular browser state, not proof of every underlying event. Pair it with behavioral checks: for instance, confirm the expected URL, visible status, or value after reload. If a task has a consequential side effect, such as creating a record, verify that outcome through a suitable independent application, API, or database check where available.
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Turn stable visual requirements into screenshot assertions
For recurring visual regressions, use Playwright Test’s expect(page).toHaveScreenshot() and review the reference images it stores. On first use, the test creates a baseline; later runs compare their screenshots against it. The assertion waits until two consecutive screenshots match before comparing the final image with the expected snapshot. These screenshot assertions require the Playwright test runner (Visual comparisons; PageAssertions).
Visual baselines are sensitive to the rendering environment. Playwright notes that host operating system, browser version, settings, hardware, power source, and headless mode can change screenshots; its guidance recommends using the same environment that generated the baseline. Browser or platform differences may require separate snapshots. Keep the baseline environment stable and review baseline updates deliberately instead of accepting changes automatically just to clear a test.
Use image comparisons for requirements that are genuinely visual, such as layout, spacing, or a component’s rendered appearance. When the important outcome is ordinary text or other non-image content, Playwright Test’s toMatchSnapshot can complement image checks; the documentation says it detects the content type and chooses an appropriate comparison algorithm (Visual comparisons).
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Combine visual evidence with behavioral and state checks
For each acceptance criterion, match the check to the claim. A screenshot can show that a success message appeared; it cannot alone establish that a change persisted after reload, that a record was created exactly once, or that a workflow’s side effect occurred. Depending on the task, verify the resulting URL, visible status, persisted value after reload, API or database state, or an independent confirmation.
- Visual requirement: Capture the relevant page or element and, when stable and repeatable, compare it with a reviewed baseline.
- Interaction requirement: Confirm that the expected control was usable and the next state appeared.
- Persistence requirement: Reload or revisit the relevant view and check the saved value.
- Side-effect requirement: Check application state through an appropriate independent source when the consequence merits it.
Ask the agent to report each criterion as verified, failed, or unverified, and tie the result to the evidence. Do not convert a missing check into a success claim.
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When an interaction or assertion fails, preserve the exact error, the browser state, and a screenshot from the failure point. A screenshot may reveal an overlay or cookie banner behind a click that was intercepted; Selenium’s guide specifically notes this use of failure screenshots (Using AI coding agents with Selenium).
- Reproduce the failing step: Run a focused check and capture the state where it breaks.
- Inspect the cause: Check the actual page, target locator, visible overlays, and error rather than treating the agent’s summary as diagnosis.
- Fix or report: If the agent is authorized to repair the issue, make the change; otherwise record the defect and leave it unresolved.
- Repeat the check: Rerun the focused test, then repeat the full relevant validation after a fix.
- Report accurately: Link the final result to criteria and artifacts, and label unresolved checks unverified.
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Keep exploratory checks and regression tests in the right layers
Interactive browser agents are useful for exploratory validation and iterative fixes. Checks that need to run consistently in CI or protect against future regressions belong in repeatable repository tests, such as Playwright Test or tests in an existing automation stack. VS Code distinguishes interactive browser validation from repository tests suited to consistent CI and regression protection (Use browser tools with agents).
When choosing the layer, weigh repeatability in CI, behavioral coverage, visual evidence at relevant states and viewports, the agent’s interaction model, and whether the journey requires an isolated session or an authenticated existing context. An exploratory agent run can reveal issues, but should not replace a stable test for a behavior you need to guard over time.
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