I built an interactive AI recommender for Medium publications and packaged it as a Gemini Gem. Medium writers who want their articles to be discovered can submit their pieces to a publication, which is like a digital magazine focused on a specific topic. However, there are hundreds of publications, so it can be difficult to find the right one for a particular article. A key resource is "Medium's Huge List of Publications Accepting Submissions." It contains basic information about each publication, but the list is difficult to navigate because of its size. My solution was to organize that information and use it as the source for an AI recommender. I packaged the system as a Gem because the interface is cleaner, and users do not need to see the sources I used. Step-by-step: 1. I asked Gemini to compile and format basic information for each publication, including its topic, size by number of followers, and a short description. 2. I consolidated that information in a Google Sheet. 3. I used the spreadsheet as a source for a Google Notebook (formerly NotebookLM). 4. I added instructions for the AI, like the following: "You are an expert guiding the user to find the ideal publications for their articles in Medium. Ask the user to write down what their interests, topics, etc., are; whether they are beginner writers; whether they want to start with a small publication (less than 1,000 followers), mid-size (a few thousand), or only the biggest (tens or hundreds of thousands). Ask them for any other personal information and details about their writing, and take that into account." 5. I packaged the system as a Gemini Gem instead of distributing it as a Notebook so users could access it through a cleaner interface without seeing the sources. It can be accessed at the following link: https://gemini.google.com/gem/1HDPzcE6Jls76V4I2tFZhIn-SbeeDe-_-?usp=sharing