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JevMade field notes / Architecture and workflow guide

How to test websites using a multiple-choice AI tool

This guide explains a tool that helps an AI assistant test websites. It lists the available buttons on a page and asks the AI to choose one, making the process faster and easier to repeat.

Original by openqa-cnBrowser use

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Credits and license

“CodexQA Jev Browser” by openqa-cn. Read the original source.

This expanded guide is an AI-narrated adaptation of the source’s essential explanation, examples and caveats, not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

License: MIT

MIT License

Copyright (c) 2026 CodexQA Jev Browser contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Our summary

CodexQA Jev Browser is a tool for checking if a website works correctly. Normally, an AI assistant looks at a picture of a page to decide where to click. This project speeds up the process by turning the webpage into a multiple-choice menu for the AI.

The software builds a list of every visible button and text box. It then uses Jev, an AI tool that chooses from options rather than writing an answer, to pick the right action. Once a test succeeds, the steps are saved so they can be replayed later without the AI.

This is useful for people who want to automate website checks. It requires a private access code, called an API key, to connect to the AI. The authors report that this method was faster and cheaper in their tests, but the software only interacts with items it can currently see.

Key takeaways

  1. The tool only lets the AI interact with buttons and text boxes that are currently visible.
  2. A task is only marked as finished when the required proof actually appears on the screen.
  3. Successful website tests can be saved and run again later without needing the AI to decide.

The authors provided the speed and cost measurements, and the reviewer inspected the project files without running the software.

Repository README and documentation · Source reviewed

Read the original guide Opens the author’s site in a new tab.