Persona
A modular character intelligence system for generating, evolving, and managing believable populations in games and simulations.
Persona is a character intelligence system designed to treat characters as living systems — consistent, reactive, and expressive over time. It provides a structured pipeline for defining identity, generating populations, and enabling evolution across long-running worlds. Designers establish the genetic foundations of a setting, generate diverse casts using evolutionary algorithms, and allow characters to adapt through learning, memory, and interaction. Rather than relying on brittle scripting, Persona supports emergence within designer-defined constraints — producing believable variation at scale while keeping behaviour coherent over time.
- •Evolutionary character generation using genetic algorithms
- •Modular pipeline from identity definition to runtime behaviour
- •Persistent memory and learning through interaction history
- •Designed for large-scale populations and systemic worlds
A character intelligence and simulation framework that generates, manages, and evolves characters as data-driven systems.
- •Game designers
- •Simulation developers
- •AI and systems designers
- •World-building teams
- •Technical directors
Sits upstream and at runtime — feeding character data into gameplay systems while continuously evolving behaviour through interaction and learning.
Measurable results
Reduced manual effort when creating and maintaining large casts
More believable characters through learning and memory
Improved systemic depth without brittle scripting
Enabled scalable world-building with controlled variation
Core features & functionality
Foundation Studio
Define the genetic blueprint of a world by authoring DNA libraries that describe traits, roles, skills, personalities, and constraints.
- •Configurable DNA libraries and gene definitions
- •Attribute limits, weights, and constraints
- •Reusable templates for different worlds or genres
Character Forge
Generate diverse character populations using evolutionary algorithms guided by fitness, balance, and diversity goals.
- •Selection, crossover, and mutation pipelines
- •Fitness-driven population refinement
- •Seeded and constraint-based generation strategies
Adaptive Network
Enable characters to learn from experience, recognise patterns, and adapt behaviour through reinforcement and imitation.
- •Context-aware decision-making
- •Behaviour adaptation based on outcomes
- •Emergent tactics and strategies over time
Core Characteristics
Track and manage the physical and mechanical state of characters during runtime, including resources, stats, and conditions.
- •Health, stamina, energy, and morale systems
- •Derived stats and progression
- •State and status-effect management
Interaction History
Persistent memory system that records significant events and shapes future behaviour, relationships, and personality.
- •Event, emotional, and relationship memory
- •Significance-based retention and decay
- •Memory-driven behaviour and dialogue hooks
Take the next step with
confidence
If Persona resonates, let's talk about what you're building and what success needs to look like. We'll align on scope, move fast, and ship with care.