If this is your first A.I. book
Begin with a real task.
Use Prompt 1 in Appendix B with a voice memo. Then take OpenAI's AI Foundations course if you want a wider introduction.
Find the beginner courseA companion to Context Training
Additional Free
Resources
The working library is in the book. This page keeps the outside resources clickable and current.
Appendix B contains six ready-to-use prompts, three complete starter Skills, and a team exercise built around the Context Training Loop. You can use them as written, adapt them with your own context, or upload the book to your A.I. and ask it to help you choose the right starting point.
The links below are optional next steps from the organizations building many of today's A.I. tools. Return here for clickable links and future updates after this edition goes to print.
Start with one useful next step
Pick the path that matches where you are now.
If you already use A.I.
Stop starting over.
Use Prompt 4 to create a current foundation, then turn repeated work into a Skill with Prompt 6.
Compare official guidanceIf you lead a team
Test one repeated result.
Run the team exercise in Appendix B, compare the results with your real standard, and teach what the shared foundation missed.
Find team learningOfficial prompting and Skills guides
See how the major A.I. platforms explain the work.
These guides helped inform the research behind Appendix B. They use different product language, but the useful pattern is familiar: name the result, add the context that changes it, show what good looks like, check the work, and improve what happens next.
OpenAI
Prompt engineering
How OpenAI recommends giving models clear instructions, useful context, examples, and a defined output.
Open resource (opens in a new tab)OpenAI
Reasoning best practices
Guidance for asking reasoning models to solve complex problems without adding instructions that get in the way.
Open resource (opens in a new tab)OpenAI
Skills in ChatGPT
An introduction to reusable Skills that give ChatGPT instructions and resources for repeatable work.
Open resource (opens in a new tab)Anthropic
Prompting best practices
Claude guidance for clear direction, relevant context, examples, structured outputs, and stronger evaluation.
Open resource (opens in a new tab)Anthropic
What are Skills?
An overview of how Claude Skills package instructions, files, and repeatable processes for specific work.
Open resource (opens in a new tab)Gemini prompt design strategies
Practical Gemini guidance for instructions, context, examples, and breaking a complex job into useful steps.
Open resource (opens in a new tab)Google Workspace
Write effective prompts
A plain-language guide to describing the person, task, context, and format that can improve a Gemini response.
Open resource (opens in a new tab)Microsoft
Get started writing prompts in Microsoft 365 Copilot
Microsoft's guide to stating a goal, adding context, naming the source, and describing what the response should look like.
Open resource (opens in a new tab)NVIDIA
Mastering L.L.M. techniques and operations
A deeper technical collection covering language-model techniques and the systems used to run them reliably.
Open resource (opens in a new tab)Free courses
Learn from the organizations building the tools.
Choose one course that matches the work in front of you and use it beside the prompt or Skill you're practicing in the book.
OpenAI Academy
AI Foundations
Beginner · 60 to 75 minutes
An introduction to A.I., clear instructions, useful context, output review, and responsible use.
Open resource (opens in a new tab)OpenAI Academy
Applied AI Foundations
Beginner to intermediate · 75 to 90 minutes
Learn how to turn recurring work into a repeatable workflow with clear review points.
Open resource (opens in a new tab)OpenAI Academy
Agents and Workflows
Intermediate · 75 to 90 minutes
A next step for defining outcomes, boundaries, context, and review in agent-assisted work.
Open resource (opens in a new tab)Anthropic Claude Academy
AI Fluency: Framework & Foundations
All experience levels · About four hours
A course on delegation, description, discernment, diligence, evaluation, agency, and responsible use.
Open resource (opens in a new tab)Anthropic Claude Academy
AI Capabilities and Limitations
Beginner to intermediate · About three and a half hours
Learn how language models work, why they fail, and how to choose a useful fix.
Open resource (opens in a new tab)Introduction to Generative AI
Beginner · About 45 minutes
Learn what generative A.I. is, how it is used, and how it differs from traditional machine learning.
Open resource (opens in a new tab)Machine Learning Crash Course
Intermediate to advanced
A deeper course with videos, visualizations, quizzes, and browser exercises. Some exercises assume Python and math.
Open resource (opens in a new tab)Microsoft Learn
Explore the business value of generative AI solutions
Beginner · About one hour
A learning path on useful cases, organizational readiness, agents, prompting, grounding, data quality, security, and responsible adoption.
Open resource (opens in a new tab)NVIDIA Training
Generative AI Explained
Beginner · About two hours
An overview of generative A.I. concepts, applications, challenges, and opportunities.
Open resource (opens in a new tab)IBM SkillsBuild
AI Literacy
Beginner · About four hours
Learn how A.I. systems learn, how people and A.I. work together, responsible use, industry examples, and a hands-on business challenge.
Open resource (opens in a new tab)These resources were free to access when checked on August 27, 2026. Some require a free account to save progress or earn a badge. Availability, course names, and optional certification costs can change.
Return to the method
The next win starts in the book.
Choose one result you need now. Say what you need. Show what matters. Check the work. Teach what it missed.