Production Workflow Automation System | n8n, APIs & AI
Content and publishing workflows
I built a production workflow automation system that connects APIs, AI services, email, media creation and publishing platforms through n8n and custom Python logic.
My role Automation & Integration Developer
The business need
Recurring content workflows involve several connected stages: gathering source material, generating content, checking outputs, creating media and publishing. Each external service can fail or return an output that needs further handling.
What I built
I connected these stages through n8n workflows, API integrations and custom Python logic. The system coordinates content generation, validation, video creation, notifications, scheduling and publishing.
The architecture includes validation, retries, fallback logic, error handling, logging and workflow recovery. These controls support recovery when a dependency fails or a result does not pass its checks.
What the system provides
Connected production workflows for blog content, news publishing and video creation, with shared integration and recovery patterns. The overview below shows how source data moves through processing, validation, media generation, publishing and monitoring.
A closer look
Overview and architecture pages from the project case study.
Technologies
n8n, REST APIs, AI/LLM services, Python, JavaScript and Docker.
Related services
For similar work, see API integrations and workflow automation and Custom business software.
Have a similar problem to solve?
Tell me how your current process works and what you want to improve.
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