Ashina TreeHouse AI Test
A Roblox experience owned by DIO's Reworked AI Tests.
HorrorENhorror survivalmimic IPchase mechanics
Ashina TreeHouse AI Test is a horror experience created on 2024-06-22. It currently has zero active players. The game has accumulated 6,072,367 lifetime visits and 270,922 favorites. User engagement shows a 70% like percentage. The experience focuses on survival mechanics involving AI-driven monsters and pathfinding within a Japanese-themed setting.
Description (written by the developer; not a statement by this register)
The Mimic Tags Mimic Horror Pathfinding Pathfinder Monster Monsters Scary Scary Horror Japan Survive Survive Killers Killers Killer Tree TreeHouse House Survival AI AI Test AI Tests Test AI Run Running Chase Chasing Escape City Baseplate Plate Scared Leaderboard Creepy Survive The Killer Survive The Monsters Suvive The Mimic Monsters Survive Monsters Survive Mimic Survive Mimic Monsters Survive Fanmade Monsters Survive Fanmade Killers Survive The Mimic Monsters Jumpscares Free Badges Badges Pineapple Boss Bossfight Multiplayer Dark Realistic Curse Horror Game Scary Game Midnight Evil Traditional Like Favourite SURVIVORS SURVIVOR Friends Fun Funny Sprint Speed Inspired Spooky Troll Dead Fast Private Server PrivateServer Server Private Camera Team Team Up Platforms Platform Form Warning Group Build Building Frog Lady Kuishinbo Ashina
Last updated by the developer 26 Nov 2025, 11:32 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 14:07 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.