Most businesses don't need "more AI." They need less repetitive work.
Over the past year, I've been building automation systems using Python, FastAPI, n8n, and LLMs to automate repetitive business processes.
In this article I'll walk through the architecture I use in production.
Businesses waste hours every week on tasks like:
These jobs aren't difficult—they're repetitive.
My typical architecture looks like this:
Trigger
↓
n8n Workflow
↓
Python/FastAPI Services
↓
LLM Processing
↓
Database
↓
Notifications (Slack, Telegram, Email) Each component has a single responsibility.
n8n is amazing for orchestration.
Python is better for:
Using both together gives much more flexibility. After dozens of automation projects I learned:
Automation isn't about replacing people.
It's about removing repetitive work so people can focus on higher-value tasks.
I'm planning to write more articles about:
At Automations Limited, we help businesses reduce repetitive work by building AI agents, workflow automations, custom integrations, and intelligent software solutions.
Learn more about our AI automation services:
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