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Prompt course · 8 lessons · 24 prompts · 1 hour · Beginner

AI for Game Designers

This course teaches you to use AI prompts for game design tasks like brainstorming mechanics, writing design docs, and analyzing playtest feedback. Each lesson gives you ready-to-use prompts you can adapt to your own project.

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What you'll learn

  • Brainstorm Mechanics: Generate and refine core game mechanics before you build a prototype.
  • Draft Design Docs: Turn rough ideas into clear design documents, specs, and pitches.
  • Plan Levels: Plan level flow, define prototype scope, and prepare test cases for greybox builds.
  • Balance Difficulty: Model difficulty curves, check reward economies, and spot exploits in your systems.
  • Prepare Playtests: Prepare playtest scripts, observation checklists, and feedback surveys.
  • Analyze Feedback: Cluster player feedback, turn it into action items, and summarize findings for the team.
  • Coordinate Teams: Write art briefs, explain logic to programmers, and troubleshoot broken interactions from a description.
  • Write Updates: Draft patch notes, tutorial text, and community FAQs that explain game changes clearly.

What's inside

8 lessons · 24 prompts
  1. Before you start · framework course Break It Down: Least-to-Most, Plan-and-Solve and Tree of ThoughtsThis framework helps you design a boss fight by breaking it into phases, planning counters, and comparing multiple routes before finalizing.
  2. Start here Priya's Wednesday, Two WaysA day in the life of a Game Designer, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Brainstorm Game Mechanics
  4. 02 Lesson 2 · 3 prompts Draft Design Documents
  5. 03 Lesson 3 · 3 prompts Plan Levels And Prototypes
  6. 04 Lesson 4 · 3 prompts Balance Difficulty And Economy
  7. 05 Lesson 5 · 3 prompts Prepare Playtest Materials
  8. 06 Lesson 6 · 3 prompts Analyze Player Feedback
  9. 07 Lesson 7 · 3 prompts Coordinate With Art And Code
  10. 08 Lesson 8 · 3 prompts Write Player-Facing Updates

About this course

7 topics

Prompts for Game Designers: From Idea to Update

This course is built around eight lessons that follow the real work of a game designer. You will move from early ideas to playtesting to coordinating with your team.

Every lesson gives you prompts you can copy into ChatGPT, Claude, or Gemini. You will see how to adjust them for your game and your voice.

  1. The lessons
    1. Brainstorm Game Mechanics: Use AI to generate, test, and refine core game mechanics before you commit them to a prototype.
    2. Draft Design Documents: Use AI to turn rough ideas into clear design documents, specs, and pitches.
    3. Plan Levels And Prototypes: Use AI to plan level flow, define prototype scope, and prepare test cases for greybox builds.
    4. Balance Difficulty And Economy: Use AI to model difficulty curves, check reward economies, and spot exploits in your systems.
    5. Prepare Playtest Materials: Use AI to prepare playtest scripts, observation checklists, and feedback surveys.
    6. Analyze Player Feedback: Use AI to cluster player feedback, turn it into action items, and summarize findings for the team.
    7. Coordinate With Art And Code: Use AI to write art briefs, explain logic to programmers, and troubleshoot broken interactions from a description.
    8. Write Player-Facing Updates: Use AI to draft patch notes, tutorial text, and community FAQs that explain game changes clearly.
  2. What The Course Covers

    The course walks through eight lessons that match a game designer's workflow. You will learn prompts for brainstorming mechanics, drafting documents, planning levels, balancing difficulty, preparing playtests, analyzing feedback, coordinating with art and code, and writing player updates.

  3. How The Lessons Connect

    Each lesson builds on the one before it. You start with ideas, then shape them into documents, then test and refine them with player feedback. By the end, you have a full set of prompts that work together.

  4. How To Use The Prompts Well

    Treat the prompts as starting points. Add details about your game, your genre, and your players. If a result is not quite right, tell the AI what to change and try again. The more context you give, the better the output.

  5. Who This Course Is For

    This course is for game designers who want to save time and explore more ideas. It is also for design leads who want to help their team work with AI. No technical background is needed.

  6. Safety And Privacy For This Job

    Never share confidential game details or player data with an AI tool unless your studio allows it. The course shows you how to anonymize examples and keep sensitive information out of your prompts. Always follow your company's policies.

  7. Your Next Step

    Pick one lesson that matches a task you have this week. Try the prompts on a small piece of your project. See how much time you save, then move to the next lesson.