WorkGamesLe Zoo

Games / 2023–2025

Le Zoo

A social MMO shaped by behavioral signals, EEG-informed research, and agent-assisted game production.

Le Zoo combines a Unity multiplayer world with player-state modeling, a karma economy, and experiments in generated game modes.

Le Zoo avatar customization interface with a colorful Zoot character
The live Zoot Studio turns avatar identity into the entry point for the world.
Role
CTO and AI Director, Mother Games
Timeframe
2023–2025
System
Games
  • Unity
  • Python
  • behavioral AI
  • EEG
  • social MMO
  • coding agents

The system in context.

At Mother Games, Nikita Annt led the technical and AI direction for Le Zoo: a 3D mobile social game where players create Zoot avatars, build habitats, play mini-games, and move through a karma-driven world.

The research layer translated movement, interaction frequency, and decision timing into behavioral features. Those signals were explored alongside EEG observations from a Brooklyn test group, while coding-agent experiments investigated how new game modes could move from a backend workflow into a Unity client.

What shipped

  • Led AI and technical direction across the Unity product and its supporting services.
  • Modeled movement, interaction, and decision-timing signals for adaptive gameplay experiments.
  • Connected behavioral research with EEG-informed cognitive-state hypotheses.
  • Explored coding-agent delivery of generated game modes into mobile Unity builds.

The numbers, with their meaning intact.

studio funding context
$5M

The preserved portfolio reports a $5M Mother Games pre-seed during the Le Zoo development era.

product era
2023–25

The period represented by this case study and its captured product surfaces.

delivery runtime
Unity

The mobile game client and live world were produced in Unity.

Evidence source ↗ (opens in a new tab)

From signal to shipped system.

  1. Translate play into signals

    Movement, interaction frequency, and decision timing became a behavioral vocabulary for the game world.

  2. Connect behavior to player state

    The team explored correlations between in-game signatures and EEG-informed cognitive-state observations.

  3. Close the production loop

    Personalization and coding-agent experiments targeted gameplay that could respond to each player and ship new modes faster.