Level Design Bot-AI tool for level design insights

Example

A designer struggling to create an open-world map with meaningful player choices can receive suggestions on how to arrange points of interest (POIs), landmarks, and paths that encourage exploration without overwhelming players.

Scenario

In an exploration-based RPG, a designer wants to balance multiple regions with different biomes. The bot offers advice on how to arrange the regions for seamless transitions and unique gameplay challenges in each biome, enhancing player immersion.

Example

A developer is working on a dungeon level where players must solve a series of mechanical puzzles. The bot suggests multi-step puzzles, like using mirrors to reflect light beams, adding layers of complexity that increase in difficulty as the dungeon progresses.

Scenario

In a dungeon crawler, a designer seeks innovative ideas for puzzles that gradually become more challenging as players progress. The bot can suggest sequences such as environmental interactions, light and shadow mechanics, and time-based challenges.

Example

A team working on a metroidvania game needs help balancing backtracking and player rewards. The bot suggests how to place unlockable shortcuts or hidden rewards in revisited areas to make exploration feel worthwhile and not tedious.

Scenario

In a metroidvania, a player gains new abilities that allow access to previously unreachable areas. The bot helps guide the designer in placing these new access points in ways that feel rewarding while balancing difficulty and the player’s sense of progression.