The AI Action Playbook
128 concrete actions distilled from the lessons, across 8 categories. Open a category, unfold each action for its step-by-step how-to, and tick items off as you go.
AI & LLM foundations
What AI, machine learning, and large language models actually are, how they work at a topline level, and where their capabilities end.
Prompt engineering
The practical craft of getting great results: structuring prompts, giving examples, asking for step-by-step reasoning, and iterating fast.
AI in daily work
Turning AI into a genuine productivity multiplier for writing, analysis, research, and admin, plus the judgment to know when not to use it.
Responsible & trustworthy AI
Using AI safely and ethically: bias, verification, confidential data, copyright, and the topline of AI governance and the EU AI Act.
Building with AI
How to structure an AI project, navigate the tools landscape (RAG, agents, vector databases, APIs), write basic code, and evaluate outputs against cost and latency.
ChatGPT & the OpenAI ecosystem
A deep, hands-on mastery path for ChatGPT: models and Projects, Custom GPTs, Actions and Connectors, data analysis and multimodal, Codex and Canvas, agents, the OpenAI API, automation, and a capstone.
Claude & the Anthropic ecosystem
A deep, hands-on mastery path for Claude: models and Projects, connectors, Skills, MCP, Claude Code, GitHub workflows, the Anthropic API and Agent SDK, automation, and a capstone.
Gemini & Google AI
A deep, hands-on mastery path for Gemini: models and the app, Gems, Workspace, Extensions, AI Studio and the Gemini API, Gemini CLI and Code Assist, agents, Vertex AI, automation, and a capstone.