Turn your apartment into an escape room

A Step-by-Step Guide to Creating Immersive Puzzles and Escape Rooms in a 2-Bedroom Space using a single AI prompt.

Think you need endless space or tools to create your own escape room? Think again—today’s prompt shows you how to transform a 2-bedroom apartment into a one-of-a-kind escape room experience.

Today’s Prompt: Design an escape-room-style experience set in a 2-bedroom, 1-bathroom apartment.

Design an engaging escape-room-style entertainment experience set entirely within a 2-bedroom, 1-bathroom apartment.

Follow these steps:

  1. Theme and Storyline: Propose three unique and immersive themes (e.g., a heist, a secret agent mission, or a treasure hunt) and create a brief narrative for each. The story should fit naturally within the apartment's space.

  2. Puzzle Design: Develop a series of 5–7 interconnected puzzles that make creative use of household items, furniture, and spaces. Ensure the puzzles vary in type (e.g., logic puzzles, hidden clues, physical challenges, or ciphers) and are solvable using everyday objects.

  3. Room Utilization: Explain how each room in the apartment (living room, bedrooms, bathroom, kitchen, etc.) can be used in the game to maximize immersion and flow.

  4. Set-Up Instructions: Provide step-by-step guidance for setting up the escape room, including any props or printouts needed. Highlight budget-friendly options for materials and decorations.

5. Gameplay Tips: Offer tips to ensure a smooth experience, such as timing the game, designing hints or clues, and managing player progression if they get stuck.

Why we like this prompt:

  1. It gives clear, step-by-step instructions, ensuring AI knows exactly how to respond.

  2. It specifies distinct components like themes, puzzles, and room usage, breaking down the task into manageable parts.

  3. It encourages AI to think creatively within defined constraints, like the layout of a small apartment.

  4. It outlines diverse puzzle types and goals, guiding AI to produce varied and engaging outputs.

  5. It directly requests practical, actionable advice, ensuring the final response is easy for users to implement.

Result:

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