Professional overthinker. Amateur mad scientist. Full-time builder of things that should probably have an OFF switch.
class Danial:
interests = ["AI Agents", "Automation", "Autonomous Systems",
"Algorithmic Trading", "Experimental Tech"]
current_project = "π§ FrankenAgent"
philosophy = "Why do it manually if an agent can mess it up for me?"
def build(self, idea):
while True:
prototype(idea)
break_something()
debug_at_3am()
deploy()ReaFuse β stitching together intelligence, tools, memory, and automation. The monster is still learning to walk.
- π’ Hermava AI β built a multi-agent operating system for a real business. SEO, content, research, communications, and operational workflows.
- π§ͺ Agentic Quality Control (AQC) β a system that tests, scores, diagnoses, and monitors other agents. Because apparently AI needs supervision too.
- π€ 12-Agent Automation Fleet β reusable agents handling workflows, integrations, content pipelines, and business operations.
- π Trading & Prediction Systems β real-time market data, algorithmic strategies, execution infrastructure, and plenty of debugging.
- π¬ Experimental AI Projects β constantly connecting APIs, models, and infrastructure to see what happens.
Python Docker Linux LLMs APIs MCP n8n VPS Agent Orchestration Real-Time Data
$ git commit -m "final version"
$ git commit -m "actual final version"
$ git commit -m "why is it autonomous now"
$ git commit -m "okay it works don't touch anything"Building systems that think, act, fail, recover, and eventually make themselves useful.
Somewhere between git init and artificial general chaos.