Automated Content & AI Agent System
AI-powered automation pipeline managing multi-channel content production through n8n, LLMs, and image generation.
Overview
Runs content production for 6 TikTok channels with near-zero marginal cost per output.
- Mission type
- Automation
- Status
- Featured
- Role
- Full-stack product delivery
Turn a real constraint into a usable product.
The work started with an operational need that could not be solved by a standalone technical demo. The system had to fit an existing user journey and produce a clear result.
Connect only the layers the outcome needs.
AI-powered automation pipeline managing multi-channel content production through n8n, LLMs, and image generation. The implementation keeps responsibilities explicit so the product can evolve without coupling every change to the full stack.
System architecture.
A practical delivery loop from user intent to measurable output.
Technology
- n8n
- OpenAI
- Gemini
- Stable Diffusion
- Docker
- Python
Key features
- A focused automation workflow built around the user outcome
- Clear boundaries between interface, application logic, integrations, and data
- A delivery path designed for iteration after the first working release
My role
Problem framing, system architecture, implementation, integration, and the path from working prototype to deployable product.
Runs content production for 6 TikTok channels with near-zero marginal cost per output.
Start a mission.
Tell me what you want to automate, build, or improve.