Tamino.travel – AI-Driven Content Pipeline

Tamino.travel – AI-Driven Content Pipeline

Tamino.travel – AI-Driven Content Pipeline

AI-driven content pipeline using CustomGPT workflows and n8n orchestration, automating WordPress publishing via the REST API, media handling, and content generation through a native Android upload app.

  • https://tamino.travel/
  • eng
  • n8n (automation), WordPress REST API, Docker, CustomGPT (prompt-based workflows), Android (Java, media upload)
  • web

Architecture

The platform is built around a modular architecture combining CustomGPT-based content generation with an n8n automation layer.Each content “author” is implemented as a structured CustomGPT workflow with predefined prompts, categories, and formatting rules. These ensure consistent output and allow controlled, repeatable content generation across different topics.
Generated content is delivered via webhooks into n8n, which acts as the central orchestration layer.

Content is published via the WordPress REST API, enabling full control over post creation, metadata, and media assignment.

AI assistants powering Tamino.travel content workflows
GitHub repository for Custom WordPress child theme for Tamino.travel

Automation Pipeline

n8n orchestrates the full publishing pipeline from ingestion to deployment. Incoming content is processed through a sequence of automated steps, including WordPress post creation, featured image assignment, and conditional validation logic. Additional steps handle data persistence, response handling, and cleanup processes.

n8n workflow for fetching WordPress images by category
End-to-end n8n workflow: create posts, assign featured images, and sync metadata via custom plugins

This creates an end-to-end automated publishing workflow, transforming AI-generated input into structured, live WordPress content without manual intervention.

Author personas implemented as Custom GPTs with predefined tone, style, and formatting rules
Custom GPT author interface with predefined prompts and category-based content generation
Category-driven idea generation using predefined prompts and author-specific context
Numeric input maps directly to a predefined blog post topic for content generation
Category-based tool call triggering n8n workflow to fetch relevant WordPress images
n8n workflow returns structured image data with direct WordPress media URLs
AI-generated blog post with dynamic image insertion and automated featured image assignment via n8n
User confirmation step triggering n8n workflow for automated WordPress publishing
Final JSON payload passed to n8n workflow containing content, metadata, images, and taxonomy data
Post-publish workflow triggers automated translation pipeline for additional language versions
Translation output enters the same publishing pipeline via confirmation trigger
Automatically published blog post displayed in WordPress frontend with category and metadata applied
Automatisch übersetzter und veröffentlichter Blogbeitrag im WordPress-Frontend mit lokalisiertem Inhalt und Struktur
Fully automated backend integration with consistent taxonomy, author, and language mapping

Media Workflow

To support media integration, a native Android application was developed for real-time image capture and upload.
Images can be taken directly on mobile devices and uploaded to the WordPress media library, enabling fast and context-aware content enrichment. This removes the need for manual media handling and integrates seamlessly into the overall publishing pipeline.

Native Android application (Java) for direct image capture and upload to WordPress media library

Result

The final system operates as a scalable content engine, capable of continuously generating and publishing structured articles.
By combining AI-driven content creation, automation workflows, and mobile media ingestion, the platform enables a small team to maintain high publishing output while retaining full control over structure and quality.

This enables a small team to operate like a full-scale content operation with minimal overhead.