AI website testing, without writing test scripts
Mira Checks is an AI testing agent that reads the live site and acts on what it finds. Point it at a URL and it auto-discovers representative pages and key journeys, then tests them the way a user would — clicking through, submitting forms, and checking the quality signals most scripted suites never look at.
The free general site test runs in minutes, with no test code to write or maintain. When it finishes you get prioritized issues with locations, so you fix the highest-impact problems first.
What the agent automatically checks
Give the agent a URL and it selects the pages and journeys that matter before running any checks, so results reflect how real visitors use your site. AI web testing with Mira covers:
-
Broken links
Internal and external links that 404, redirect unexpectedly, or point visitors somewhere they shouldn't land.
-
Slow pages
Pages that cross the load-time and response-time thresholds the agent measures during the general site test.
-
Layout issues
Broken responsive layouts, overflowing content, and rendering problems at desktop and mobile viewport widths.
-
Dead forms
Forms that can't be submitted, inputs that reject valid data, or submit handlers that never complete — the quiet way sites lose conversions.
-
Accessibility and WCAG
Automated a11y checks for color contrast, ARIA, labels, keyboard navigation, and heading structure — the WCAG 2.x A/AA criteria machines can verify.
-
Key journeys
End-to-end flows the agent discovers — checkout, signup, search, contact — verified step by step for functional regressions.
This is automated testing run by an AI agent — an automated audit, not a certification. Findings are model-assisted and can be wrong, and the agent samples representative pages and key journeys rather than crawling every page of your application or anything behind authentication.
What "agentic" means in an AI website tester
Most testing tools execute a script someone wrote against a fixed page list. The agent works differently: it reads the live site, decides what matters, and tests it — the way a QA engineer would on a first pass.
Reads the live site first
The agent explores navigation, links, and content to understand what the site is and who it serves — no page list to maintain.
Picks pages and journeys
It auto-discovers representative pages and key journeys and tests those, so effort lands where users actually go instead of on an exhaustive crawl.
Tests, then reports
Each selected page is checked for the issues above, and findings come back as prioritized issues with locations — not a raw log to decode.
That is what agentic means here: the agent decides what to test within the general site test. It is not a human QA engineer, and it can't judge everything — findings are model-assisted and can be wrong, so verify critical fixes against the real pages. See the agentic end-to-end testing guide for how discovery and journey selection actually run.
What a general site test finds, in practice
The same Mode 1 general site test adapts to what the agent discovers. Three common shapes:
The agent walks the navigation and key landing pages, checks every public page for broken links and slow loads, and verifies demo and signup forms actually submit.
The agent discovers product pages, category pages, and the cart-to-checkout journey, then tests the flow end to end including layout and accessibility checks along the way.
The agent tests signup and trial flows, pricing page forms, doc links, and the public paths users hit before ever logging in.
These are illustrative, not measured: every run reports only what the agent actually found on your site. Browse the test examples for realistic reports from these site shapes.
Run a free general site test
Give Mira a URL and the AI agent auto-discovers representative pages and key journeys, tests them, and reports what needs fixing — free, no setup.