While tools like ChatGPT, Claude, and Gemini are revolutionizing the industry, many practitioners use them merely for fragmented tasks rather than scalable systems. Throughout this one-day session, you will master the AI Workflow Pyramid, construct universal brand context documents, develop multi-platform content production engines, integrate automation via APIs, and establish rigorous governance and quality control protocols to protect your brand integrity.

Who Should Attend

This program is designed for marketing and social media professionals who possess a baseline understanding of AI tools and are ready to transition from ad-hoc usage to structured, high-efficiency workflows.

Prerequisites

No formal prerequisites are required. A working familiarity with social media marketing and basic experience with at least one major AI platform (ChatGPT, Claude, or Gemini) is recommended. This curriculum expands on fundamental AI principles, making it perfect for those who have already started experimenting with AI for content generation.

What You’ll Learn

  • How to use the AI Workflow Pyramid to move from individual prompts to scalable systems

  • Techniques for creating brand context assets that work consistently across ChatGPT, Claude and Gemini

  • Methods for building reusable prompt templates that accelerate content production

  • How to execute a one-to-many content strategy across LinkedIn, Instagram, X and TikTok

  • Ways to automate content workflows using APIs and no-code automation tools

  • Frameworks for maintaining quality control, governance and consistency across AI-generated assets

Course Agenda

  • What’s included:

    A conceptual deep-dive into AI architecture, moving beyond reactive prompting to proactive system building. Coverage includes the AI Workflow Pyramid (prompts > templates > systems > automation) and configuring "Persistent Instructions" across major platforms (Custom GPTs, Claude Projects, Gemini Gems).

    Learning outcomes:

    • Participants will be able to construct universal "Brand Context" documentation that ensures AI models consistently deliver on-brand results without manual prompt engineering for every interaction.

    Tasks:

    Audit existing daily prompt usage; draft a central "Brand Context" document; map a current manual workflow to identify where systems can replace one-off prompts.

Why our approach works

Measurable impact

Measurable impact

Track the return on learning investment through greater efficiency, productivity and cost savings.

Applied learning

Applied learning

Prioritize practical value, business needs and measurable outcomes when evaluating and applying AI solutions.

Get in touch

For further information about the content we cover and how we can help your business with our AI learning, our team is here to help.