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3D motorbike racing game through a forest

Gameshardbuild testPrompt in Germansingle-file HTML3DphysicsGerman

What it tests: 3D rendering plus vehicle physics (inertia, drift, surface grip), AI riders that follow the track and make mistakes, lap timing and a debug overlay, all in one HTML file without assets.

Prompt length: 1,254 characters, roughly 360 tokens (estimate).

Erstelle ein 3D-Motorrad-Rennspiel als eigenständige HTML-Datei mit HTML, CSS und JavaScript. Das Spiel soll durch eine bewaldete Strecke führen und folgende Features haben: - Fahrbare Motorradsteuerung mit Beschleunigung, …

The source has no licence that allows copying, so only a short excerpt is shown here. The full prompt is one click away at the source.

How to grade it

Playable in the browser with no console errors; 3 laps with lap times; mud, jumps and tight corners change grip and speed; boost zones work; collisions with trees, rocks and borders; AI opponents follow the track; HUD shows speed, lap, position, boost and damage; countdown, pause and restart; minimap; debug overlay with FPS, speed, collision and checkpoint state.

Scorecard tick what the model got right: 0/10

Runs in your browser; nothing is saved or sent.

0/10

Where models usually fail

The bike drives like a box with no inertia; opponents stand still or drive through walls; no minimap or debug overlay; external model or texture URLs despite the no-assets rule.

Running it

Run it one-shot and judge the first answer. Open the result exactly as delivered (double-click for HTML). Give the model a large output budget: long specs get cut off on small context settings.

Source

Author
Arnie (GitHub @Arnie936)
From
Arnie936 / llm-prompting-tests
Exact file or post
https://github.com/Arnie936/llm-prompting-tests/blob/03445cf074852ec5535ece9d123bdff442e63ef5/README.md#2-3d-motorrad-rennspiel
Licence
No license file (all rights reserved)
How we use it
Excerpt only: open the full prompt at the source

Testing a local model? Check first whether it fits your hardware with Can I run this LLM?

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