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Agentic Hugo CMS — Process Design & Experimentation

Agentic Hugo CMS — Process Design & Experimentation

Class Details

Mar, 2026 - Last Updated: Mar, 2026 · 1 Day
Process Automation Hugo CMS AI Workflows Beginner to Intermediate

This one-day interactive workshop is designed for technically interested professionals who want to understand and experiment with the future of automated website management. Rather than diving into deep code, you will learn how modern platforms like Hugo CMS operate and how to connect them with powerful AI agents.

We will explore how to design content workflows, reuse existing Model Context Protocol (MCP) servers to handle tasks like image generation and layout checks, and orchestrate processes where AI assists with everything from drafting to publishing. By the end of the day, you will be equipped to conceptualize and experiment with agent-driven CMS processes in your own projects.

Audience

  • Technically curious digital managers and product owners
  • Consultants and architects designing automated content processes
  • System thinkers looking to streamline site operations
  • Innovators wishing to experiment with AI agents and web platforms

Prerequisites

  • Curiosity about AI and modern website technologies
  • Basic understanding of how digital content is published
  • No deep programming background required
  • Familiarity with AI assistants (like ChatGPT, Claude, or Copilot) is a plus

Curriculum

Module 1: The Modern Website Ecosystem

  • Understanding static sites vs. traditional CMS
  • Introduction to Hugo CMS and its business advantages
  • High-level content architecture
  • Decoupling design, content creation, and publishing

Module 2: Introduction to AI Agents & Workflows

  • What are agentic workflows for content management?
  • Mapping the content lifecycle (Draft, Review, Publish)
  • Identifying bottlenecks and automation opportunities
  • Designing standard operating procedures and prompts for AI

Module 3: Leveraging MCPs (Model Context Protocol)

  • What is an MCP and why does it matter for business?
  • Reusing existing tools for operations (e.g., image creation, structure checks)
  • How AI agents communicate with website systems
  • Orchestrating capabilities without writing complex code

Module 4: Hands-on Experimentation

  • Drafting an automated publishing process
  • Interacting with a sample Hugo environment and MCP tools
  • Automating routine content updates and multi-channel publishing
  • Evaluating outcomes and refining agent instructions

Module 5: Bringing It All Together

  • Taking the first steps in your own business environment
  • Cost-effective and secure deployment strategies
  • Maintaining quality control with AI in the loop
  • Planning your company's agentic CMS roadmap

Class Logistics

Delivery Price 1.200 €
Max Users 12
Infrastructure (per user) 25 €
Lab Requirements GitHub Codespaces / DevContainer
AI Coder Bring your own

All prices are net B2B prices and subject to 20% VAT or Reverse Charge in the EU.