How I built smart automations that save hours every week
Automation doesn't need huge infrastructure — sometimes all you need is n8n + Python + a good LLM.
Here’s how I built three lightweight but powerful automations that improved my content flow and daily routine.
1. Auto-Generate LinkedIn Tech Posts (gNews → Python → Gemini → LinkedIn API)
I wanted fresh, relevant tech content posted automatically on LinkedIn — without doing it manually every morning.
Workflow Includes:
- Fetching real-time tech news via gNews API
- Cleaning + formatting content in Python
- Generating a polished LinkedIn-ready caption using Gemini AI
- Publishing automatically through LinkedIn API
Result:
✔ Zero manual posting
✔ Consistent daily visibility
✔ Cleaner + AI-improved content
2. Daily Weather + Motivation Telegram Bot
A simple automation that sends a morning weather report and a Gemini-generated motivational message.
Workflow Includes:
- OpenWeatherMap API → real-time weather
- Gemini AI → custom motivation text
- Telegram Bot API → scheduled daily message
Result:
✔ Daily personalized message
✔ A small workflow that boosts productivity
✔ Fully autonomous once deployed
Why These Automations Matter
- They remove repetitive tasks
- They help maintain consistent personal branding
- They show how flexible n8n + Python + Gemini AI can be
- They are small, modular, and easy to scale
Final Thoughts
If you’re looking to automate small but impactful tasks, start with tiny workflows — news fetching, posting, messaging, alerts — and build upward.
n8n + Python + Gemini AI turned out to be the perfect trio for me.
If you want the full workflow JSON or code snippets, drop a comment — happy to share!
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