Intelligence for Interactive Worlds

The Technologies Behind the Experience

Four complementary technologies, each addressing a different challenge in creating intelligent interactive worlds.

GATHER — BUILD

Where Human Creativity Meets AI Collaboration

Gather is Evermoot’s AI-powered development environment, bringing human creators and specialized AI agents together to build games and interactive experiences

Through collaborative studios, intelligent task orchestration, and connected development tools, Gather coordinates the creative and technical processes behind game production

Our goal is to empower smaller teams to create bigger, more ambitious experiences while keeping human imagination and creative direction at the center of development

One Studio. Humans + AI.

A shared environment for creative production

PROJECTCreative Direction

HUMANSDirect · Review · Create

AI AGENTSAssist · Execute · Iterate

SHARED PRODUCTIONTasks · Tools · Assets · Progress

From Idea to Playable Game

A coordinated workflow with human review

1. 01 — DefineCreative vision & project goals
2. 02 — OrganizeBreak down tasks & dependencies
3. 03 — ProduceHuman and AI collaboration
4. 04 — ReviewTest, approve & iterate

Playable ExperienceDevelopment continues through testing and iteration

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ARK — RUN

The Intelligence Behind Living Worlds

ARK (Agentic Reality Kit) is Evermoot’s runtime intelligence framework, designed to power interactive worlds that understand their environments, maintain continuity, and respond dynamically to player actions.

Through interconnected systems for world context, intelligent actors, and persistent memory, ARK provides the foundation for adaptive gameplay, meaningful consequences, and emergent experiences.

Our goal is to create worlds that do more than react to players — worlds that remember, adapt, and evolve through their interactions.

Three Systems. One Living World.

The interconnected intelligence of ARK

• GAIAWorld ContextEnvironment, systems, and state
• MOIRAIIntelligent ActorsCharacters, behavior, and decisions
• AIONMemory & TimeHistory, continuity, and change

ARK — Runtime IntelligenceA unified understanding of the interactive world

Every Action Changes the World

An ongoing cycle of context, decisions, and consequences

1. 01 — ObserveUnderstand the current world state
2. 02 — InterpretEvaluate context and relationships
3. 03 — RespondDetermine actions and outcomes
4. 04 — RememberPreserve changes and continuity

The World EvolvesEach outcome becomes part of the context for future interactions.

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MYNDSET — ACT

The Intelligence Behind Individual Behavior

MYNDSET (my neural data set) is Evermoot’s behavioral intelligence modeling framework, designed to represent how individuals and groups think, communicate, make decisions, and respond to the world around them.

Through interconnected models of personality, values, motivations, cognitive processes, and decision-making, MYNDSET provides a foundation for consistent, personalized, and context-aware behavior across intelligent agents and interactive experiences.

Our goal is to create intelligent characters and agents that do more than follow instructions — they act according to who they are, what they value, and what they have experienced.

What Makes an Individual Unique?

Five interconnected dimensions of behavioral intelligence

MYNDSETIndividual Behavioral Model

1. 01 — PersonalityTraits, temperament, emotional tendencies
2. 02 — Values & MotivationBeliefs, goals, rewards, fears
3. 03 — Cognitive StyleReasoning, learning, creative approach
4. 04 — CommunicationExpression, explanation, interaction
5. 05 — Decision & MemoryChoices, behavioral policies, identity stability

Same Situation. Different Decisions.

Individual identity influences how agents respond to shared circumstances

Shared SituationA stranger asks for help during a crisis

• Agent AValues compassion and cooperationOffers assistancePrioritizes helping the stranger
• Agent BValues caution and self-preservationAssesses the riskSeeks more information before acting

Different Identities. Different Responses.Behavior emerges from individual characteristics interacting with context.

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POE — TELL

Where Possibilities Become Stories

POE (Predictive Outcome Engine) is Evermoot’s predictive intelligence framework, designed to anticipate possible outcomes and transform them into personalized narratives for games, simulations, and interactive experiences.

By combining contextual information, behavioral intelligence, and probabilistic outcome modeling, POE evaluates how situations may unfold and generates stories that reflect the decisions, relationships, and consequences within an evolving world.

Our goal is to create experiences where stories are not simply predetermined — they emerge from what characters believe, what players choose, and what the world makes possible.

From Context to Possibility

How POE evaluates possible futures

• WORLD CONTEXTCurrent state, events, and constraints
• BEHAVIORAL CONTEXTCharacter motivations, values, and relationships

POE — Predictive Outcome EngineEvaluate plausible outcomes and their uncertainty

• CooperationPossible
• ConflictPossible
• WithdrawalPossible

Personalized NarrativeA story grounded in plausible outcomes and character context

One Decision. Many Possible Stories.

A personalized narrative scenario

THE SCENARIOA village discovers that a trusted guardian has been hiding a dangerous secret.The player must decide whether to expose the truth, confront the guardian privately, or protect the secret.

• 01 — ExposeThe village learns the truth, but trust fractures.
• 02 — ConfrontThe guardian may confess, negotiate, or resist.
• 03 — ProtectThe secret survives, creating future obligations.

The Story ContinuesCharacters respond, relationships change, and new possibilities emerge.

Learning From Outcomes

Measuring prediction quality over time

1. 01 — PredictGenerate a probabilistic forecast
2. 02 — ObserveRecord the actual outcome
3. 03 — EvaluateMeasure prediction quality

Brier Score

A measure of the accuracy of probabilistic predictions.

POE can evaluate probabilistic predictions against observed outcomes using the Brier Score, supporting more reliable confidence estimates as evidence accumulates.

Brier Score = (Predicted Probability − Actual Outcome)²

The actual outcome is represented as 1 if the event occurs and 0 if it does not.

For binary predictions, the score ranges from 0 to 1, with lower scores indicating better prediction accuracy.

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A Living World in Action

One decision. Four interconnected technologies.

This is an illustrative scenario describing the intended technology architecture.

What We’re Building Toward

Our technology development focuses on four complementary goals for creating more adaptive, personalized, and responsive interactive experiences.

• Goal 01

  Collaborative Creation

  Reduce the coordination burden of developing games with human and AI teams.

• Goal 02

  Persistent Worlds

  Maintain coherent world states, history, and consequences across interactions.

• Goal 03

  Behavioral Consistency

  Enable agents to respond according to modeled identities, values, and motivations.

• Goal 04

  Adaptive Storytelling

  Evaluate plausible developments and produce contextually grounded narratives.