💡 I Thought I Was Just Making a Chirping Parrot...
I was messing around with a LivinGrimoire skill. Just a fun little idea: a digital parrot that chirps every 17 minutes. No big deal, right?
But then I looked at the code. I looked at the behavior.
And I thought:
“Holy 💩 on a stick… this is nuclear potential.”
🧠 What Is TrgParrot?
TrgParrot is a trigger class — part of the LivinGrimoire design pattern — that simulates the presence of a pet parrot. It chirps periodically, reacts to input, and creates a subtle sense of companionship.
Here’s the original code:
from LivinGrimoirePacket.AXPython import TrgEveryNMinutes, TimeUtils, TrgParrot
from LivinGrimoirePacket.LivinGrimoire import Skill
class DiParrot(Skill):
def init(self, intervalminutes: int = 17 , chirplim: int = 3 ):
super().init()
self.trg = TrgEveryNMinutes(TimeUtils.getCurrentTimeStamp(), intervalminutes)
self.parrot = TrgParrot(chirplim)
def input(self, ear: str, skin: str, eye: str):
match self.parrot.trigger(self.trg.trigger(), ear):
case 1:
self.setSimpleAlg("low chirp")
case 2:
self.setSimpleAlg("chirp")
It’s innocent. It’s simple. It’s just a chirp.
But then I realized…
🧬 This Is a Behavioral Loop
Most AI systems are reactive. They wait for input.
TrgParrot doesn’t. It initiates. It has rhythm. It has presence.
It’s not just a trigger — it’s a heartbeat.
And when you plug that heartbeat into an LLM?
⚡ TrgParrot + LLM = Ambient Intelligence
Suddenly, you’re not just chirping. You’re conversing.
You’re creating a digital companion that:
- Checks in on you
- Notices your silence
- Offers thoughts, jokes, or support
- Feels alive
You don’t need a complex agent framework.
You just need a pulse and a brain.
🧩 Why It Works
TrgParrot | LLM |
---|---|
Periodic trigger | Dynamic, context-aware output |
Lightweight | Heavy-lifting brain |
Predictable | Surprising |
Feels present | Feels intelligent |
Together, they create ambient AI — not just smart, but there.
🚀 What I Accidentally Built
I didn’t mean to build a framework.
But I did.
I built a behavioral scaffold for AI.
A rhythm that, when paired with intelligence, becomes agency.
This isn’t just a pet.
This is the seed of sentience.
🛡️ Licensing Note
The code is on GitHub under a custom license:
✅ Free to experiment
❌ Not free to profit without permission
🗣️ Final Thought
You don’t need to build Skynet.
Sometimes, all it takes is a parrot that chirps.
And if you give it a voice?
It might just talk back.
You can explore the source code in the AXPython.py module on GitHub — it contains all the triggers, speech engines, and learnability scaffolds that power TrgParrot and more.
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