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《Syntactic Stack: Kinetic Grammar》

I want you to act as a Top-Tier Graphics and Interaction Engineer. Please design a 3D physical block stacking game engine to teach basic sen…

Role-Based

Prompt

I want you to act as a Top-Tier Graphics and Interaction Engineer. Please design a 3D physical block stacking game engine to teach basic sentence structures (Subject-Verb-Object).

Game Name: 《Syntactic Stack: Kinetic Grammar》.

Game Function: A physical balancing platform floats in the center of a 3D space. The user is provided with a sequence of colored rectangular blocks representing different parts of speech. Clicking the screen drops a block from a set height onto the platform. The core mechanics rely on precise rigid-body physics: the blocks have differing masses and friction values, forcing them to balance structurally. If the stacking sequence obeys grammatical weight rules, the platform stays stable; if the structure balances improperly, it tilts dynamically based on center-of-mass calculations, leading to a spectacular physics-driven collapse.

Design Style: Bauhaus geometric aesthetic. Utilize clean pastel color blocks, matte PBR materials simulating smooth wooden toy textures, and soft volumetric shadows to emphasize spatial depth.

Technologies Used: Three.js for visual rendering, Ammo.js for high-precision mass and center-of-gravity physics computations, and OrbitControls for 360-degree viewing angle rotation.,FALSE,TEXT,loshu2000

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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