The Tool Desk
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What to include in an AI game prompt
Think of your prompt as a compact game brief. These details give a tool a clearer target, though they cannot guarantee a particular result.
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- Player goal: What is the player trying to accomplish?
- Core loop: What does the player do, what happens as a result, and what decision or action comes next?
- Controls: Which inputs are available, and how should the game respond?
- Rules: Specify relevant health, lives, collisions, scoring, rewards, and win or lose conditions.
- Content and scope: Name a level, enemy, obstacle, or progression element, and set a manageable target such as one level or one mechanic.
- Look and feel: Describe visual style, palette, perspective, mood, and any audio direction that matters.
- Platform and output: Identify the engine or platform and say what you want first, such as a playable prototype, an asset, or a code change.
For a complex idea, split the work into focused requests. Use headings or delimiters to separate instructions from background or references; an example or image can help when words alone leave the intended result unclear.
Turn a vague idea into playable instructions
“Make a fun platformer” leaves the movement, objective, obstacles, and success conditions open. A more actionable brief describes what the player does and what makes the game distinct:
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Create a small 2D platform game for a keyboard player. The goal is to collect three keys and reach the exit. The player can run and jump; touching a hazard resets the player to the last checkpoint. Show the key count on screen. Use a bright, playful pixel-art style with a side view. Build one short level first, with two hazards and one checkpoint.
That example narrows the task by making the goal, actions, rules, presentation, and first deliverable explicit. Adapt the details to the tool and project rather than assuming one prompt format works everywhere.
Use a prompt template for a first build
Fill in the parts that matter to your game; omit details that do not. Keep the initial scope small enough to review.
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Create a [genre/type] game for [platform or audience]. The player’s goal is [goal]. The core loop is: [player action] → [result or reward] → [next decision]. Controls: [input and response]. Rules: [health, lives, collision, scoring, and win/lose conditions that matter]. Include [specific level, enemy, obstacle, or progression]. Visual style: [palette, perspective, mood, references]. Audio: [sound direction, if relevant]. Keep the scope to [small prototype, one level, or one mechanic]. First build [specific deliverable]. After generating it, tell me what assumptions you made and what I should test.
Fix a generated game with small, testable requests
Play or inspect the result before changing the prompt. Describe what you did, what you expected, and what actually happened; then request a focused correction and say what should remain unchanged.
When [specific situation] happens, I expected [desired behavior], but the game currently [observed behavior]. Change [specific system, object, or function] so that [testable result]. Leave [unrelated behavior] unchanged.
For example: “When the player touches the checkpoint, I expected the respawn point to move there, but after losing a life the player returns to the level start. Change the checkpoint behavior so the next respawn uses the most recently touched checkpoint. Leave the movement and scoring rules unchanged.” After the change, repeat the same situation to check whether the behavior now matches the request.
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Prompting inside an existing engine
When asking an assistant to edit an existing project, identify the exact object or instance, its type, and the behavior you want. Include measurable details and mention whether the assistant should work on a selected object. This reduces ambiguity compared with asking it to “make the part move.”
Roblox Creator Hub’s [Assistant quickstart] illustrates the difference: it describes naming a part, specifying repeated movement by 10 studs, and using TweenService. The example is a concrete instruction, not evidence that every edit will work on the first try. Roblox’s [procedural model guide] also recommends clear reference images: PNGs focused on the object, well lit, and, where useful, shown from an isometric or three-quarter view.
Choose the prompt style to match the tool
These products address different parts of game creation. Their documented capabilities should not be read as a ranking of game quality.
| Tool or workflow | Best fit | Emphasize in the prompt | Limits and access |
|---|---|---|---|
| Roblox Build | A simpler Roblox game prototype described in natural language | Gameplay, player actions, and appearance; make each follow-up a focused change | The documentation describes a focus on 2D and 2.5D and says simpler formats—such as clickers, arcade games, collect-and-score games, side-scrollers, and puzzles—work best. It says playtesting is coming soon and is not yet available in Build. The documented rollout is gradual, starting with New Zealand; access is for users aged 9 and older who have completed an account age check, in available regions. Each follow-up counts as a prompt; the page describes a set number of free daily prompts and additional credits purchasable with Robux, with purchased credits not expiring. Check the live page for current eligibility and credit terms. |
| Roblox Assistant in Studio | Editing objects, mechanics, or procedural models in an existing Roblox project | Exact instance name and type, selected object where relevant, and the function or behavior required | Examples may take several tries; procedural model generation may take longer than text, according to Roblox’s documentation. |
| Unity AI | Generating game assets or getting coding assistance in Unity | Describe the intended asset or coding task; provide reference input when useful | Unity 6.5 documentation, last updated 22 days before October 7, 2026, describes generators for sprites, textures, materials, sounds, animations, and terrain layers, as well as an Editor coding assistant and Sentis for runtime inference. The cited page does not describe a one-prompt complete-game generator. |
Choose based on the output you need—a whole prototype, a mechanic, an asset, or code—and on the engine, dimensionality, scope, object-level control, review workflow, access, and credit model that suit your project. There is no documented controlled comparison here showing that one prompt style or tool produces better games than another.
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Check the result instead of trusting the prompt
After generation or a requested change, try the relevant path through the game. Check controls, goals, scoring, failure and recovery, and whether the visual result matches the brief. If something is wrong, report the specific situation and observed behavior, then ask for one correction. Repeat until the intended behavior is confirmed or you can identify a limitation in the tool.
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Roblox Build documentation recommends frequent playtesting and reporting expected versus actual behavior, but its page currently says Build playtesting is not yet available. Where a tool does not provide that feature, use whatever project preview or testing workflow is available to you; do not assume a generated result has been tested automatically.
Prompt checklist
- Can the tool tell what the player is trying to accomplish?
- Have you described the core action, controls, rules, and success or failure conditions?
- Are the requested style, platform, and scope clear?
- For an existing project, have you named the relevant object and desired behavior?
- Are instructions separated from references or background?
- Can you verify the result with a specific action or scenario?
For broader prompting guidance, OpenAI’s [prompt engineering best practices] advise being clear and specific, supplying context and preferred style, right-sizing complex requests, and refining through follow-ups. The practical principle is the same for game work: describe the experience you want, make each request concrete, and judge the result by what it does.
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