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How to Improve AI-Generated Game Results with Better Prompts

Get more useful AI-generated game content by defining the deliverable, supplying relevant game context, and checking each result against a clear brief.
Length4 min Posted Quest giverVGSources Team

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To get more useful AI-generated game content, tell the model exactly what to produce, why it matters in the game, and which details or constraints it must follow. Then check the result against that brief and revise a few things at a time. The right prompt depends on the task: NPC dialogue needs character and scene context, while a generated world needs clear environmental and visual direction.

Start with the result you need

State the deliverable and its purpose before describing style. “Write dialogue for the village healer” is a clearer starting point than “make something interesting.” Explain what the output needs to accomplish in play or production: introduce a quest, establish a location’s mood, communicate a clue, or help a character feel distinctive.

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OpenAI’s prompt guidance recommends clear, specific instructions and enough context. A prompt can still leave room for creative choices; the key is to make the intended target legible.

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Give the model the game context that matters

Include only context that helps shape the answer: the setting, current scene, player’s role or goal, relevant lore, and any constraints. For a character, explain personality, motivations, relationships, and voice. For a world, describe its environment, visual style, and how its elements should behave.

Without this context, a response may be polished but unusable: dialogue can contradict the character, and a location can miss the game’s tone or gameplay needs. Avoid assuming the model knows your unpublished lore or the scene you have in mind.

Make the important details observable

Replace vague requests such as “make it dramatic” with details a reviewer can actually check. Depending on the task, specify:

  • Tone and voice: restrained, playful, formal, anxious, or another defined quality.
  • Length and format: a short exchange, a list of asset descriptions, or a fixed set of fields.
  • Required content: objects, actions, information, or visual features that must appear.
  • Limits: lore the output must respect, information a character must not reveal, or elements to exclude.
  • Gameplay purpose: what the player should be able to see, do, or understand.

Choose constraints that protect the result without scripting away every possibility. For interactive dialogue in particular, leave room for the player’s next choice instead of forcing the exchange into a single predetermined outcome.

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Prompt a game world or character

Google DeepMind’s Genie prompt guide separates environment, character, and preview. Its advice is specific to Genie, not a universal formula for every world- or image-generation tool: describe the landscape, terrain, style, objects, and environmental behavior; then describe the character’s appearance, capabilities, movement, and effects on the world. The guide recommends short, direct sentences and sensory details when they help establish mood.

Use this adaptable structure as a starting point, not a tested or guaranteed prompt:

Environment: [place, terrain, visual style, important objects, atmosphere, environmental behavior].

Character: [identity and appearance, abilities, movement, relationship to the environment].

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Goal: [what the player should be able to see, do, or understand].

Constraints: [required details, exclusions, and camera or perspective if the tool supports them].

For Genie, inspect the preview before entering the generated world and adjust the description if it misses the intended setting or action.

Prompt NPC dialogue

A Google-published community article about Gemini-powered NPCs recommends writing from the game or story designer’s perspective. Give the model the character’s background, motivations, relationships, relevant values, and dialogue style, then explain the scene and recent events. State what the player wants and what the NPC should accomplish, along with limits such as length, tone, or information that must remain undisclosed. This is guidance for a Gemini-oriented example, not a guarantee that every dialogue model will behave the same way.

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Adapt this structure to the tool and game:

You are writing dialogue for [NPC role] in [game and scene]. The NPC’s background and motivation are [details]. They speak in [voice and style]. In this interaction, the player is trying to [goal]. Respond in [length and format], stay consistent with [lore and constraints], and do not reveal [restricted information]. Leave space for the player’s next choice.

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Review the output, then revise a few things at a time

Check the result against the goal you set rather than judging it only by whether it sounds fluent. A practical checklist is:

  • Does it follow the requested format and length?
  • Does it fit the game’s lore, scene, and character voice?
  • Does it include the required details and avoid the prohibited ones?
  • Does it achieve the intended gameplay or production purpose?

If it misses, change the prompt where the mismatch occurred: add missing context, clarify an ambiguous instruction, or simplify a request with too many competing demands. Revise one or a few elements at a time and compare the new result with the previous one against the same checklist. That makes it easier to tell which change helped.

Make repeated use more consistent

A single promising result does not establish that a prompt will work reliably. OpenAI notes that model outputs are non-deterministic and that behavior can differ across model types and snapshots. For repeated production use, turn the requirements that matter into evaluations or tests, track how prompts perform as they change, and pin model snapshots in production applications where version stability matters. See OpenAI’s prompt engineering guidance for evaluation and model-version practices.

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Unity’s 2024 Gaming Report offers context for why these tasks matter to developers, but its figures describe surveyed AI adopters, not all game developers: 63% of surveyed developers adopting AI tools used generative technology for asset creation; 56% of AI adopters used AI for worldbuilding; and, among creators using AI for worldbuilding, 64% favored AI for developing NPCs. These are survey findings reported by Unity, not measures of prompt quality or proof that AI improves a game.

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