u/CinnamonInt

When I was 15, I watched Iron Man and decided to build my own JARVIS. I googled "best language for AI", got Python, learned if-else statements, and immediately wrote:

inp = input(">>> ")
if inp == "hey":
    print("At your service Sire")

I kept going — taught it "add", "subtract", "play", "timer" — one word at a time. Each word had explicit rules for how it behaves in English sentences. The plan was "if I teach it one word a day, in a few years it'll be intelligent enough!" Then reality hit — writing handlers by hand for every word in English was just not feasible. A Windows update eventually killed the project and I archived the mess. Years later with AI agents that can write code, the original idea suddenly seemed achievable. So I resurrected it with proper architecture. It's called Cinnamonint — a sentence-reduction engine. You type a sentence, it finds keywords it knows, runs their handlers, and loops until nothing's left to process. Same input = same output, every time. No training data, no hallucinations.

Can it reach AGI? Honestly, we can only find out if we teach it enough words. That's where I need your help — feel free to pitch in, contribute tokens, or just tell me why this is a terrible idea. Open to all criticisms.

When I was 15, I watched Iron Man and decided to build my own JARVIS. I googled "best language for AI", got Python, learned if-else statements, and immediately wrote:

inp = input(">>> ")
if inp == "hey":
    print("At your service Sire")

I kept going — taught it "add", "subtract", "play", "timer" — one word at a time. Each word had explicit rules for how it behaves in English sentences. The plan was "if I teach it one word a day, in a few years it'll be intelligent enough!" Then reality hit — writing handlers by hand for every word in English was just not feasible. A Windows update eventually killed the project and I archived the mess.

Years later with AI agents that can write code, the original idea suddenly seemed achievable. So I resurrected it with proper architecture. It's called Cinnamonint — a sentence-reduction engine. You type a sentence, it finds keywords it knows, runs their handlers, and loops until nothing's left to process. Same input = same output, every time. No training data, no hallucinations.

Can it reach AGI? Honestly, we can only find out if we teach it enough words. That's where I need your help — feel free to pitch in, contribute tokens, or just tell me why this is a terrible idea. Open to all criticisms.