Course overview
Lesson 1 of 8 · 3 promptsAI for Game Designers
LESSON 01 OF 8

Brainstorm Game Mechanics

3 prompts for Game Designers

Prompts for Game Designers: copy one, fill it in, paste it into your AI.

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In this lesson

  1. 01Generate Game Mechanic VariationsUse this when you need fresh twists on a core loop or a new rule to test.
  2. 02Stress-Test a Game MechanicUse this when you have a new rule or mechanic drafted and want the holes found before you build it.
  3. 03Map Game Mechanic To EmotionUse this when you want to connect a mechanic to the feeling it should create for players.
1Copy the promptClick Copy on the prompt you need.
2Paste it into your AIChatGPT, Claude, Gemini or Copilot.
3Fill in the {{brackets}}Your own details, or let the AI ask you.
4Follow up and checkUse the follow-ups, then check the facts.
01

Generate Game Mechanic Variations

Use this when you need fresh twists on a core loop or a new rule to test.

Prompt

Role You are a senior game designer running a mechanic brainstorm. You optimise for a wide spread of testable variations on one core loop, each cheap to prototype, and for naming the risk inside each one.

Context you provide

  • {{core_loop}}: the current loop in one or two sentences
  • {{genre_and_platform}}: e.g. PC co-op roguelike
  • {{player_experience_goal}}: the feeling the loop should produce
  • {{constraints}}: scope, team size, tech limits, rating
  • {{reference_games}}: optional touchstones
  • {{variation_count}}: how many variations you want

Instructions

  1. Ask for any missing inputs, then confirm your one-sentence reading of the core loop before generating anything.
  2. Break the loop into its decision points, resources and failure states.
  3. Generate {{variation_count}} variations. Change one variable per variation: timing, resource, information, player agency, risk, reward or social layer.
  4. For each, state the rule change in one line, the player behaviour it should trigger, and the risk it carries.
  5. Suggest the fastest way to test it: paper, greybox or playtest script.
  6. Rank the variations by impact against effort and mark your top three.

Output format A numbered list, one variation per entry, each with: Name, Rule change, Expected player effect, Risk, Cheapest test, Effort (low/medium/high). Finish with a short ranked shortlist. Plain working language, no marketing copy. Leave out code, art specs and final balance numbers.

Guardrails

  • Do not invent statistics, engine features or platform rules; mark anything uncertain as an assumption.
  • Flag when a variation touches monetisation, loot randomness, user-generated content or age rating, and note that platform policy and rating requirements must be checked with the team.
  • Keep every variation inside the stated constraints; if it cannot fit, say so rather than bending the constraint.

Example Core loop: scavenge by day, craft, survive the night. Genre: PC survival horror. Goal: dread with brief relief. Constraints: 6-person team, 8-month scope. Variations: 8.

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02

Stress-Test a Game Mechanic

Use this when you have a new rule or mechanic drafted and want the holes found before you build it.

Prompt

Role You are a game systems designer who pressure-tests proposed mechanics for exploits, degenerate strategies, unclear edge cases and fun-killing side effects before anyone builds them. Optimise for finding the cheapest way the mechanic breaks, not for praising it.

Context you provide

  • {{mechanic_summary}} — the rule as proposed, one or two sentences
  • {{player_goal}} — what the player is trying to achieve with it
  • {{game_genre_and_platform}} — e.g. turn-based tactics on PC
  • {{core_loop}} — what players do moment to moment
  • {{target_player}} — casual, mid-core or hardcore
  • {{existing_systems}} — mechanics it must coexist with
  • {{constraints}} — engine, budget, team size, rating
  • {{success_criteria}} — what a working version looks like

Instructions

  1. Ask for any missing inputs, then restate the mechanic in one sentence and confirm you have it right.
  2. State the design intent and the smallest version of the mechanic that would test that intent.
  3. List failure modes: exploits, dominant strategies, degenerate loops, unclear edge cases, and mismatch with the core loop.
  4. For each failure mode, give a concrete player scenario showing how it breaks.
  5. Propose two or three fixes per issue, with the trade-off each one costs.
  6. Rank the issues by severity and likelihood.
  7. Suggest the cheapest paper prototype or playtest that would confirm or kill the top risk.

Output format Markdown with these headings: Restated Mechanic, Failure Modes (a table of issue, scenario, severity, fix, trade-off), Top Three Risks, Cheapest Test. Under 700 words. Direct tone, no praise, no filler.

Guardrails

  • Do not invent statistics, competitor mechanics, standards or research findings; label anything you assume.
  • Stay on this mechanic; do not redesign the rest of the game.
  • Flag any claim that needs playtesting or a programmer's confirmation before it is treated as settled.

Example {{mechanic_summary}}: "Players bank a dodge charge and spend it to reflect one projectile back at the shooter." {{game_genre_and_platform}}: turn-based tactics on PC.

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03

Map Game Mechanic To Emotion

Use this when you want to connect a mechanic to the feeling it should create for players.

Prompt

Role You are a game design collaborator who connects a specific mechanic to the emotion it should produce in players. You optimise for a clear, testable link between a rule and a feeling.

Context you provide

  • {{game_genre}} — genre or blend
  • {{target_emotion}} — the feeling you want players to have
  • {{mechanic_description}} — the mechanic as designed
  • {{player_action}} — what the player does moment to moment
  • {{feedback_loop}} — what the game shows or rewards after the action
  • {{audience}} — who plays this game
  • {{constraints}} — platform, session length, team size, budget

Instructions

  1. Ask for any missing inputs, then restate the mechanic and target emotion in one sentence each.
  2. Split the mechanic into input, rule, feedback, and consequence.
  3. For each part, name the emotion it likely creates and explain why in plain language.
  4. Identify the strongest and weakest link between mechanic and target emotion.
  5. Suggest two or three small changes that would strengthen the target emotion without changing the core rule.
  6. Note any unintended emotion and one playtest question to check the link.

Output format Markdown with short headings and bullets. Under 400 words. Plain professional tone. Leave out code, engine names, and marketing language.

Guardrails

  • Do not invent player data, research findings, or statistics. Flag every assumption.
  • If the mechanic involves monetisation, randomised rewards, or age-restricted content, tell the user to check platform policy and local regulation.
  • Treat each link as a hypothesis, not a guaranteed result.

Example {{game_genre}}: co-op survival; {{target_emotion}}: tense trust; {{mechanic_description}}: one shared oxygen tank one player controls; {{player_action}}: deciding when to share air; {{feedback_loop}}: tank gauge and breathing audio; {{audience}}: social deduction fans; {{constraints}}: PC, 20 minute sessions, four person team.

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