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“Honey, do you remember where Ryan’s practice is? Do you remember our Wi-Fi password? Do you know my TSA PRE number? Remember who that painter was that we used last year?” If you have a family with children, you may hear questions like these all the time. In a large family, there always seem to be questions about the house, the kids, or technology that could be answered more easily. The information is usually stored in different places: password files, a Rolodex of business cards, or sheets of paper in junk drawers. I set out to build an app where anyone in my family could use voice to save something for the future or retrieve something they had already stored. I integrated AI to understand the meaning of each voice note. It might create a calendar event, store a password in a vault, or simply remember a phone number. Then anyone else in the family could access the information. The app uses multi-factor authentication for anything particularly secret. It is not intended to be a dedicated password protector; I would build in much more security if that were the goal. Instead, it is an everyday-life app for remembering the little things: How long is the warranty on this appliance? Which exact light bulbs did we use here last time? What was our daughter’s email address that we needed to set up on her phone? Being able to use voice to enter information or retrieve it was the key for me. I think that will save people time. As I started adding entries and validating the idea, my wife came up with the name. After a few weeks, I knew she was completely right, because I now use it about 10 times a day—and I hear that exact phrase every time. Step-by-step: 1. I identified recurring family questions about locations, passwords, identification numbers, contacts, warranties, and household items. 2. I built an app that lets family members use voice to save or retrieve information. 3. I integrated AI to interpret the meaning of each voice note and determine whether to create a calendar event, store a password in a vault, or remember a phone number. 4. I made the stored information accessible to other family members. 5. I added multi-factor authentication for information that is particularly secret, while keeping the app focused on everyday memory rather than dedicated password protection. 6. I added entries and validated the idea through regular use, eventually using the app about 10 times a day.

I teach and direct a required general education public speaking class at a small college. I’ve built the course around critical inquiry, critical thinking, and public advocacy of a localized problem. Over the years, I’ve noticed that students are increasingly reluctant to engage with the underlying problem. They are often content to identify a problem with enough certainty that they assume their perspective is obviously shared by everyone else. They may also believe that their preferred sources are more certain or credible, leading them to build a case based only on their limited perspectives. With the help of ChatGPT, I built an AI tool that guides students through the problem- and solution-discovery process. It begins with a general question: “what is your topic and what is the problem?” Students often respond with a one-word or incomplete answer, such as “poverty,” “crime,” or “the high cost of education.” These answers do not identify the topic’s deeper dimensions, the extent of the harm, or who is affected by the issue. The AI pushes back on these statements and helps students explore the issue in greater depth. It consistently asks, “what do you mean by x?” I constrained the AI to draw most of its knowledge from the coursepack I wrote for the class, which outlines the assignments, lessons, and instructional content. This keeps the tone of the interaction and the examples provided to students aligned with the overall feel of the course. The AI does not create speeches, make outlines, or find sources for students. Instead, it asks questions that help them refine the direction of their speeches. Whenever possible, the AI also identifies alternative viewpoints from sources traditionally associated with the student’s own perspective. For example, if a student is advocating a progressive viewpoint, the AI may identify statements or research from progressive sources that disagree with that perspective. If the student is advocating a conservative viewpoint, it may identify statements or research from conservative thinkers that challenge the student’s position. This helps students recognize the complexity of ideas and understand that people on the same political, religious, or ideological side do not necessarily agree on every topic. As is often the case when I build GPTs, the 8,000-character limit requires me to move many instructions into a document that I upload to the GPT’s resources. ChatGPT is helpful when I decide which content belongs in the configuration and which content can go in an uploaded document. Step-by-step: 1. I designed the public speaking course around critical inquiry, critical thinking, and public advocacy of a localized problem. 2. I identified a recurring challenge: students often named broad topics such as “poverty,” “crime,” or “the high cost of education” without exploring the depth of the issue, the degree of harm, or who is affected. 3. With help from ChatGPT, I built an AI tool that begins by asking, “what is your topic and what is the problem?” 4. I configured the AI to push back on incomplete answers by repeatedly asking, “what do you mean by x?” 5. I constrained the AI to draw most of its knowledge from my coursepack, including the class assignments, lessons, and instructional content. 6. I instructed the AI to guide students with questions rather than create speeches, make outlines, or find sources for them. 7. I configured it to identify alternative viewpoints, including disagreements from sources traditionally associated with the student’s own political, religious, or ideological perspective. 8. Because of the 8,000-character limit, I moved some instructions into a document uploaded to the GPT’s resources and used ChatGPT to help decide what belonged in the configuration and what belonged in the document.

I first wrote a few paragraphs in ChatGPT explaining what I wanted and asked it to create a detailed prompt for Replit to build the site. Then I bought a domain through GoDaddy, and the site was live online less than an hour after I came up with the idea. Step-by-step: 1. I described my idea for a restaurant recommendation site featuring the top 40 cities in the world to ChatGPT. 2. I asked ChatGPT to create a detailed prompt for Replit. 3. I used the prompt in Replit to build the site. 4. I bought a domain through GoDaddy. 5. I launched the site online less than an hour after coming up with the idea.

子どもが気に入って毎日読んでいる絵本の付属品が、破れたり紛失したりしてボロボロになっていました。そこで、付属品を写真に撮ってChatGPTに送り、似たものを複製してもらいました。 さらに、もともとは付属していなかったものの、子どもがあったら喜びそうな付属品も追加で作ってもらいました。完成したものをハサミで切ってラミネート加工し、絵本と一緒に渡しました。 ポイントは、絵本のページをいくつか写真でChatGPTに送り、同じようなデザインやテイストのイラストを生成してもらうことです。そうすることで、絵本の世界観を崩さずに付属品を作れます。 Step-by-step: 1. 破れたり紛失したりした絵本の付属品を写真に撮る。 2. 絵本のページをいくつか写真に撮り、ChatGPTに送る。 3. 絵本と同じようなデザインやテイストで、付属品を複製してもらう。 4. 子どもが喜びそうな、もともとは付属していなかった付属品も追加で作ってもらう。 5. 作成した付属品をハサミで切ってラミネート加工し、絵本と一緒に渡す。