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La Madriguera is a puzzle game built around a single static scenario where the player must solve a problem without moving the main character. The objective is placed outside direct reach, and the character remains seated for the entire session. There is no story progression or changing locations; instead, the game concentrates on how the player interprets and uses the environment. This narrow focus turns the experience into a test of spatial reasoning and mechanical understanding rather than exploration or narrative choice.
The core design of La Madriguera is based on strict limitations. The player can only control one arm of the character using the mouse, with no option to stand up, walk, or reposition the body. Every interaction happens within a fixed area around the character. Objects respond immediately to player input and follow basic physical rules. Because the control options are minimal, each movement must be considered carefully, as there are no alternative abilities to correct poor decisions.
The puzzle in La Madriguera exists as one continuous challenge rather than a sequence of levels. Players are not guided toward a solution and must rely on observation and experimentation. Progress depends on understanding how different objects affect each other when moved or combined. The main gameplay elements include:
The visual layout of La Madriguera is simple and functional. The entire scene is visible at all times, and there are no hidden areas or alternative viewpoints. Objects are placed deliberately within reach, making their potential use clear. The environment does not change during play, which allows players to focus on analyzing object placement and interaction instead of adapting to new visuals. Animations and effects exist only to show movement and collision.
The length of a play session in La Madriguera depends entirely on how quickly the player understands the mechanics. Some players may reach the solution in a short time, while others may require repeated resets to refine their approach. The absence of penalties for restarting supports trial-and-error learning. Rather than offering multiple challenges, the game delivers a single concentrated task that emphasizes logic, planning, and patience within a strictly defined space.
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