Identity infrastructure for AI systems.

Aurora gives AI systems a structured, emotion-grounded identity. One core. Consistent outputs across web pages, agent conversations, and design tokens.

The identity drift problem.

AI systems without structured identity produce unpredictable results.

Inconsistent outputs

AI generates different tones, styles, and decisions every time. Without a stable identity, every output feels like it comes from a different system.

Ad hoc instructions

Teams paste style notes into prompts that drift over time. Copy-paste identity management doesn't scale and creates inconsistencies across touchpoints.

No single source of truth

Brand guides live in PDFs that AI can't read. Design tokens are scattered across repos. There's no structured, machine-readable identity system.

IdentityCore + Expressions.

A frozen emotional core that generates consistent outputs across every context.

The Frozen Core

IdentityCore

The immutable emotional foundation of an identity. Everything downstream is generated from this core.

Aurora Emotion Profile

5D vector: warmth, energy, confidence, playfulness, focus

Tone of voice, lexicon, principles

Non-negotiable rules that govern communication

Interpretive atmosphere & sensory cues

How the identity should feel, not just look

Core is NOT colors, fonts, or campaigns. Those are Expressions — generated from Core.

AURORA EMOTION PROFILE
warmth0.85
energy0.40
confidence0.70
playfulness0.25
focus0.90
Generated from Core

Expressions

Expressions are the tangible outputs generated from IdentityCore. Add new expression types without changing Core.

brand_kit tokens css_vars tailwind_theme

Contextual intelligence.

Interpreters translate IdentityCore into specific domains.

UI Interpreter

Layout, spacing, motion, and visual rules. Translates emotional intensity into concrete UI parameters.

Copy Interpreter

Tonality, word choices, and microcopy. Ensures every text output matches the identity's voice.

Agent Interpreter

AI agent behavior, uncertainty handling, and conversational personality. Keeps agents on-identity.

Component Interpreter

Semantic rules for UI component output. Maps identity to buttons, cards, forms, and page structures.

UI Brief

Quick reference for design decisions. A distilled summary of visual direction from the full identity context.

One call. Complete identity context.

Any AI system connects via MCP and gets everything in one call.

MCP Tool Call
// resolve_ui_bundle via MCP
{
  "tool": "resolve_ui_bundle",
  "params": {
    "identity_id": "aurora_abc123",
    "context": "landing_page",
    "include": [
      "core",
      "ui_interpreter",
      "copy_interpreter",
      "tokens"
    ]
  }
}

MCP Integration

Aurora exposes identity through the Model Context Protocol. AI systems call resolve_ui_bundle and receive the full identity context — Core, Interpreters, and Expressions — in a single response.

No custom SDKs. No manual syncing. Any MCP-compatible AI system connects instantly and stays on-identity.

Common Questions

What is identity drift?

How is this different from a brand guide?

What is IdentityCore?

What are Interpreters?

How does MCP integration work?

Can I use this for AI agents, not just websites?

Is the Emotion Profile customizable?

Give your AI system an identity that never drifts.

Structured identity. Consistent outputs. One integration.