From One Prompt to PetFinder A developer built PetFinder, an AI-powered lost-and-found pet web app, using Google AI Studio to generate the initial application structure from a single prompt. The app analyzes photos and information to identify potential matches between lost and found pets, and the developer refined features through iterative follow-up prompts rather than writing code from scratch. This post is my submission for DEV Education Track: Build Apps with Google AI Studio https://dev.to/deved/build-apps-with-google-ai-studio . Existing pet lost-and-found groups can move very quickly. Important posts often get buried, making it difficult to keep track of previous records or connect a lost pet with a found one. This gave me the idea to build PetFinder , an AI-powered lost-and-found pet app that helps identify potential matches between lost and found pets by analyzing their photos and information. The main prompt I used to get started was: Build a modern, polished web application called PetFinder — an AI-powered Lost & Found Pets platform that helps people report missing pets and find pets that may have been found by others. The main features include: Here the fully deployed URL Building PetFinder with Google AI Studio showed me that you don’t need to be a coding expert to build an app—you just need to know how to describe what you want. Instead of writing everything from scratch, I started with a simple idea and let AI Studio generate the initial structure. I also learned that the first prompt doesn’t need to be perfect because the entire process is built on interaction. I could describe a feature, test the result, and then refine it with follow-up prompts. The clearer I was about the behaviour and changes I wanted, the closer the app got to what I had in mind. Overall, this track showed me that in AI-assisted development, communicating your requirements clearly is just as important as writing the code itself. A good prompt can turn a simple idea into something much closer to the application you envisioned.