"Open the system, sign in with the test user and check that the dashboard loaded." That is the whole test case. A language model reads the sentence, plans the actions, and a purpose-built driver runs them in a real browser, replanning when the screen changes. A business analyst can write the case, and the automation team stops spending the week fixing selectors. In the language your team already speaks, because the model understands the sentence and not a translated keyword list.
Traditional automation ties the test to a CSS selector. Change the class, break the suite, and the next sprint turns into test maintenance instead of new coverage. Here a language model reads the page the way a person would and looks for the element by what it is, not by where it used to be. Because the model is the one interpreting, the case works in whatever language your team writes in.
Installer for macOS, Windows and Linux. It runs on its own, with no server and no login, so the pilot starts on one analyst's machine instead of in an infrastructure meeting. It does not require Node installed either: the app loads what it needs.
File explorer, the same editor as VS Code, and a real terminal, with the folder locked to the project root. Anyone who already uses VS Code learns nothing new.
Branch, changed files, commit, push, pull and diff without dropping to the terminal. The test case is versioned alongside the code it tests.
The AI suggests the change and shows the diff. Nothing is written until someone approves it, file by file.
One to eight tests at a time, with the output streaming in the terminal. A regression suite that used to take the afternoon fits in a coffee break. Data lives in a project folder, versioned with the code.
No Playwright and no Selenium in the middle: the conversation is straight with the browser. And no browser is downloaded behind your back, it uses what is already installed on the machine, which settles half the discussion with information security.
Same test case and same API on both engines, Chromium and Gecko. It walks shadow DOM and same-origin iframes.
Interface testing, authenticated HTTP requests, and layout checks across ten screen sizes, portrait and landscape. One product instead of three tools to reconcile.
The same engine three ways: imported in code, called from the continuous integration pipeline, or opened in the app. The case written in the app is the case that runs in the pipeline.
Banking, healthcare and public sector ask for proof, not screenshots pasted in a document. The multi-team server adds exactly that to the engine: who wrote it, who approved it, what ran and when.
Test cases are versioned, and whoever writes one cannot approve their own. Execution is blocked until an approved version exists.
Read, author, approve, execute and administer. Each team sees only its own tests, which matters when a software house serves competing clients.
Every entry chains to the previous one, and a dedicated call verifies the integrity of the whole trail. Touching history becomes detectable.
A model catalogue with usage limits and consumption on screen, plus organisation, teams, projects, audit, and encrypted backup with restore drills. The AI bill does not surprise you at month end.
Fourteen days free, no credit card. Enough time to port the suite that breaks the most and compare it with what maintenance costs you today. Prices are in Brazilian reais (BRL), billed through our Brazilian payment processor.
Try it with no card and no commitment
For teams with a suite already running in production
For large teams with heavy demand
That is not the point of failure here. The language model reads the page the way a person would and finds the element by what it is, not by a fixed CSS selector, and it replans after every navigation. That is where the team stops burning sprints on maintenance.
No. PilotQA AI talks straight to the browser through its own driver, with no Playwright or Selenium in the middle.
Chrome, Edge and Firefox, with the same API and the same test case on both engines, Chromium and Gecko.
No. The desktop app, for macOS, Windows and Linux, loads what it needs on its own. It is an analyst-level install, not an infrastructure project.
Four-eyes approval, where whoever writes the case cannot approve their own, five access roles per team, and an audit trail that exposes any record altered after the fact.
Tell us what your suite looks like today and where it breaks most. We will show the same case written in plain language, running in your environment, so you can compare it with what maintenance costs you now.
PilotQA AI
PilotQA AI
Payment via PIX, boleto or credit card. Cancel anytime.