How to Use This Series
This series shows you how to build an AI-powered marketing team: the skills, the tools, the agents, and the workflows that let a small team do the work of a much larger one. It is built like a course, not a textbook. Every chapter teaches a…

This series shows you how to build an AI-powered marketing team: the skills, the tools, the agents, and the workflows that let a small team do the work of a much larger one. It is built like a course, not a textbook. Every chapter teaches a skill, shows you how a working marketer applies it, and then hands the keyboard to you. If you read it cover to cover without doing the exercises, you will understand digital marketing. If you do the exercises, you will be able to do digital marketing, and you will have a portfolio that proves it.
Each chapter follows the same structure:
- Learning objectives. What you will be able to do when you finish.
- Expert instruction. The concepts, frameworks, and judgment calls that separate practitioners from people who have only read about the field.
- AI in action. Ready-to-use prompts for ChatGPT, Gemini, and Claude, written for the exact moment in the workflow where AI saves the most time or adds the most insight.
- Hands-on exercises. Short tasks you can complete in 15 to 60 minutes.
- Strategic assignment. A larger deliverable you could put to work in a real business. Together, these assignments form a complete marketing program and a portfolio of your skills.
- Key takeaways. A one-minute review.
The running case study
To make the assignments concrete, the series uses a fictional company throughout: Brightleaf Coffee Co., a direct-to-consumer specialty coffee brand that sells whole-bean subscriptions and brewing gear through its own online store. Brightleaf has about 8,000 email subscribers, modest social followings, a small paid search budget, and ambitious growth goals. You can complete every assignment for Brightleaf, or you can substitute a real business: your employer, a client, a nonprofit you care about, or your own side project. Real businesses make stronger portfolio pieces, so substitute whenever you can.
A note on AI tools
The prompts in this series were written for the three leading AI assistants that marketers use at work: ChatGPT (OpenAI), Gemini (Google), and Claude (Anthropic). They also work, with minor changes, in Microsoft Copilot and other large language model assistants. AI products change quickly. Menu names, model names, and feature limits will shift after this series is published. The skills do not change: giving clear context, asking for structured output, checking facts, and applying your own judgment. Learn the skills and you can use whichever tool your employer chooses.
Throughout the series, text in square brackets such as [product] or [audience] is a placeholder. Replace it with your own details before you run the prompt.
Your free toolkit
Everything in this series is designed to be used, not just read. The companion toolkit includes:
- The AI Marketing Prompt Library (spreadsheet): all 120 prompts from this series, organized by task, with columns for your own notes, ratings, and preferred tool.
- AI agent spec templates: a fill-in agent spec, a library of 20 ready-made marketing agent blueprints with autonomy levels, and an agent test set template.
- Setup checklists: Google Analytics 4, Google Ads, paid social tracking, team AI workspace, and AI visibility tracking.
- Working templates: test log, AI log, campaign brief, and weekly report.
Download the toolkit: https://webocreation.com/wp-content/uploads/2026/11/AI-Marketing-Team-Toolkit.xlsx
Look for the Toolkit boxes throughout the series. They mark every place where a template or checklist from the toolkit will save you time.
A note on platforms and numbers
Digital marketing platforms, especially Google Ads, Google Analytics 4, and the social networks, update their interfaces and policies several times a year. This series teaches the durable concepts and names current features where they help, but always check the official help center for the latest specifications before you launch a campaign. Benchmarks quoted in this series (such as typical email open rates or click-through rates) are rough ranges meant to orient you, not targets to hold yourself to. Your own historical data is always the best benchmark.
