I built an AI agent that runs manual test cases in a real browser

A developer has created qpilot, an open-source AI agent that reads plain-text manual test cases and executes them step-by-step in a real Chrome browser using TypeScript, Playwright, and Anthropic's Claude Haiku model. The agent handles form filling, clicks, and reports pass/fail/warn results per step with page evidence, pausing to ask for user input when encountering OTPs or captchas. The tool requires no code, configuration, or Selenium setup, running via a single `npx qpilot` command.

Every deploy — same manual test steps. Login, open the form, fill the fields, check the result. Over and over. I wanted to skip the Playwright/Selenium boilerplate and just paste my existing test cases as plain text. qpilot — an AI agent that reads your manual test case and executes it in a real Chrome browser step by step. You write this: The agent opens Chrome, clicks, fills forms, and reports pass/fail/warn per step with evidence from the page. If it hits an OTP or captcha — it pauses and asks you directly. npx qpilot No code. No config. No Selenium. TypeScript, Playwright, Claude Haiku via Anthropic API. Open source: qpilot https://github.com/broxhq/qpilot Curious what you think — especially about edge cases you'd want it to handle.