Recently, I posted my "Event-Driven AI" experiment. I presented it as a "Rules Engine," but I've realized that was just scratching the surface.
After playing with it more, I just unlocked its real potential. 🤯
The video shows at first, a simple to-do app.
But by changing a single prompt (no code!), the app instantly becomes:
- A Recipe Todo App (generating ingredients)
- A Trip Todo App (generating a packing list)
- A "Whatever-you-want" App
Recently, I posted my "Event-Driven AI" experiment. I presented it as a "Rules Engine," but I've realized that was just scratching the surface. After playing with it more, I just unlocked its real potential. 🤯 The video shows at first, a simple to-do app. I realized I wasn't just building a "rules engine." I was building a "Generative UI Engine." 🤯 🤯 The LLM acts as a new layer of abstraction. Instead of me, the developer, hard-coding every feature, I just give the AI a "Swiss knife" of tools (like addTitle, addItem, setCounter). The AI then uses these tools to build whatever the user wants, not just what the developer had in mind. It's a shift from "Here are the 3 features I built for you" to "What do you want to accomplish?" 🤯 🤯 🤯 Yes, there are drawbacks (performance, determinism). But the potential for truly dynamic, user-centric applications is HUGE. This is the discovery that has me excited. And the best part? I got this working in just a few hours, on the first try. GitHub: https://lnkd.in/drKdTcVn
But by changing a single prompt (no code!), the app instantly becomes:
