A practical course on getting clearer, more useful, more human output from AI.
Working Well With AI is a mini course for people who want better results from AI without gimmicks, hype, or advanced technical tricks.
It focuses on the fundamentals that actually make a difference: clearer context, better audience awareness, stronger goals, tighter constraints, and smarter refinement.
The course is built for people across all roles — product, marketing, operations, support, documentation, developers who write, and anyone who uses AI to get work done.
- Why vague prompts produce weak output — and what to do instead
- How to treat AI as a collaborator rather than a text generator
- How context, audience, and constraints change output quality
- How to refine output instead of accepting the first draft
- How to build reusable prompt patterns for your actual work
The course is organized into 4 modules and 10 lessons, followed by a capstone framework and supporting resources.
Module 1 — The Mindset Shift (Lessons 1–2)
Module 2 — Giving AI Better Direction (Lessons 3–5)
Module 3 — Getting Better Results Through Process (Lessons 6–8)
Module 4 — Turning Better Prompting Into Better Work (Lessons 9–10)
Capstone — The Practical AI Workflow
working-well-with-ai/
├── README.md
├── course-overview.md
├── course-promise.md
├── audience.md
├── teaching-notes.md
├── capstone/
│ ├── capstone-overview.md
│ └── practical-ai-workflow.md
├── modules/
│ ├── module-1-the-mindset-shift/
│ ├── module-2-giving-ai-better-direction/
│ ├── module-3-getting-better-results-through-process/
│ └── module-4-turning-better-prompting-into-better-work/
├── exercises/
├── templates/
└── resources/
Read the lessons in order. Each one builds on the previous one. After each lesson, complete the exercise. By the end, use the capstone workflow as your go-to mental model for working with AI.
The templates and resources are yours to keep and use immediately after the course.