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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 built Bubble Grotto, a skill-based arcade game for mobile devices, using AI as a development partner. The concept is deliberately simple: start with a small bubble, grow it, navigate through a cave filled with hazards, and decide when to escape. The larger the bubble becomes, the greater the potential reward—but the harder it becomes to manoeuvre safely. The aim was to create the classic “one more go” experience: controls that can be understood almost immediately, with gameplay that becomes progressively harder to master. The interesting challenge was that building a game is very different from implementing a list of features. The code can work perfectly and the game can still be no fun. Timing, movement, difficulty, visual feedback, and risk versus reward all have to feel right when somebody actually plays it. Step-by-step: 1. I used AI to discuss how the core concept should work, including bubble growth, movement, hazards, progression, scoring and rewards, and the escape mechanic. 2. Rather than designing the entire game upfront, I used AI-assisted development to turn each mechanic into working code and get it onto a real device as quickly as possible. 3. Once a mechanic existed, I tested it myself. I checked whether movement was responsive, whether the bubble grew too quickly, whether obstacles were fair, whether escaping was too easy, and whether failure made me want another attempt or simply became frustrating. 4. I brought those observations back into the AI workflow, identified the relevant behavior or code, made targeted changes, and tested again. 5. Once the core loop felt enjoyable, I refined the interface, visual feedback, progression, and presentation instead of allowing cosmetic work to hide weak gameplay. This produced a development loop of: idea → mechanic → playable build → play-test → adjust → repeat The final result is Bubble Grotto, an arcade game with simple controls but increasingly demanding skill-based gameplay. Players grow their bubble while navigating hazards and must balance risk against reward by choosing the right moment to escape. One of the most useful things I learned is that AI can dramatically accelerate game development, but it cannot replace judgment about whether something is enjoyable. AI can help create a mechanic, investigate why it behaves incorrectly, and implement changes extremely quickly. The human still has to play the game and decide: is this actually fun? That combination allowed me to move rapidly from a simple game idea to a functioning mobile game while spending far more of my time experimenting with gameplay than wrestling with implementation.