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Phase One: Starting with a Web Browser Extension

Follow my journey as I design and develop an AI-powered detection tool, documenting the challenges, architectural choices, and triumphs along the way.

Following up on my initial announcement about building a new AI detection tool, I’ve been mapping out the architecture and deciding on the best way to bring this idea to life. If the goal is to create a seamless, Grammarly-style experience, the application needs to live exactly where people are already writing, reading, and interacting with content.

That’s why I’ve decided the first version of this project will be a web browser extension.

Starting with an extension is the perfect approach for this kind of pop-up application. It allows the tool to overlay directly onto web-based text editors, email drafts, and social media sites. Instead of asking users to constantly copy and paste text into a separate desktop app or website, the detector will analyze the content right in the browser and trigger the pop-up UI directly on the page whenever it's needed.

In the upcoming posts, we are going to dive into the technical build. I'll be sharing my screen and documenting how I set up the initial extension architecture, use JavaScript and CSS to inject that smooth pop-up interface onto live webpages, and begin routing the text data to the AI detection backend.

The blueprint is ready, and the actual coding begins now. Stay tuned for the next update where we’ll get the very first prototype running locally in the browser!

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