Explaining a visual problem with text is highly inefficient. Whether you are analyzing stock charts on Yahoo Finance, working through geometry diagrams on Khan Academy, or diagnosing a front-end layout bug, trying to describe what you see leads to slow, inaccurate prompts. The most direct way to get help is to show the AI your screen.

This parallel delivery leverages the native vision capabilities of models like ChatGPT, Gemini, Claude, and Kimi simultaneously. Once the screenshot is captured, you can type a single question into the Master Input — such as asking the AI to solve a math problem, compare financial data points, or translate text from an image. Each active model processes the visual context in parallel, allowing you to cross-verify the answers instantly.

This approach bypasses the need for local file management, keeping your workflow clean and focused. Because the extension interacts directly with your official web sessions, your visual data is processed locally without middleman API fees or extra token costs.