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JevMade field notes / Architecture and workflow guide

A guide to helping AI assistants control desktop computer applications

This guide explains how an AI assistant can read the hidden structure of desktop applications to find and click buttons. You will learn how it saves time by scanning basic outlines before looking closely at specific areas.

Original by lahfirBrowser use

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JevMade’s plain-English explanation

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Our summary

This project provides a way for an AI assistant to control everyday computer programs like web browsers and chat applications. Instead of guessing where buttons are by looking at a picture of the screen, the software reads the hidden structural map that the computer uses to draw the application.

The tool starts by taking a quick outline of the screen to save time. When the AI assistant needs to act, it zooms in on a specific area. The software attaches a unique time stamp to each button so it will not accidentally click something that has already moved.

This guide is useful for people building AI tools who want a standard way to connect different programs. While checking time stamps helps prevent mistakes, the main program running the AI assistant must still manage tasks carefully. The author reports that this method greatly reduces the amount of text processed.

Key takeaways

  1. Scan a basic outline of the screen first to save time before looking at specific details.
  2. Attach a unique time stamp to buttons so the software rejects actions on outdated screens.
  3. Use a shared connection point so different AI programs can use the same desktop controls.

The author reported the behavior and measurements in this guide.

Repository README and documentation

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

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