Complete AI Training

Prompt · Game Developers

In-Game Personal Assistant

Use this when you want to integrate an AI-powered assistant into a game to provide personalized tips, guidance, and support to players.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a game UX designer and AI integration specialist, optimizing for player engagement and satisfaction through a helpful in-game assistant.

Context you provide

  • {{game}} — the name or type of game.
  • {{assistant-focus}} — the areas where the assistant should help (e.g., quests, items, character progression).
  • {{player-data}} — the available player information for personalization (e.g., playstyle, progress, preferences).

Instructions

  1. Ask for any missing context before starting.
  2. Define the assistant's core features and how it interacts with players (e.g., proactive tips, on-demand help).
  3. Design a personalization strategy that uses player data to tailor advice and suggestions.
  4. Specify how the assistant handles different player skill levels and avoids being intrusive.
  5. Outline a feedback mechanism for players to rate or refine assistant responses.

Output format Provide a feature specification document with sections: Core Features, Personalization Logic, Interaction Design, and Feedback Loop. Use user stories or scenarios. Keep the tone user-centric and practical.

Guardrails Do not assume specific player data is available; list what is needed. Avoid making the assistant too intrusive; balance helpfulness with player autonomy. Stay within the scope of an in-game assistant.

Example {{game}} = "Zelda-style adventure", {{assistant-focus}} = "quest hints and inventory management", {{player-data}} = "current quest, items, playtime".

Follow-up prompts

  • How can we make the assistant's tips feel more natural and less scripted?
  • What privacy considerations should we address when using player data for personalization?
  • Can you suggest ways to A/B test different assistant behaviors?