Testimonials & Engineering SystemsCognitive SystemsEmotionEngine++

Intent Vectorizer · Affective Scoring

EmotionEngine++

High-Dimensional Intent & Affective Vectorizer

A cognitive intent extraction engine that transforms raw user prompts into 5-axis dimensional vectors, urgency scores, and ethical flags to guide downstream routing.

Node.jsGPT-5.5 / GPT-4oJSON Object ModeKeyword Fast Bypass

01 / Architectural Mandate

System Overview & Engineering Purpose

EmotionEngine++ (EmotionEnginePlusPlus) operates as the sensory perception layer for SynapseFabric. It evaluates prompts across analytical, creative, empathetic, formal, and meticulous dimensions, quantifies urgency (0.0 to 1.0), flags ethical considerations (bias, sensitive topics, user distress), and provides zero-overhead technical keyword bypasses for pure code development operations.

Verified Attributes

5-Axis Vector

Analytical, Creative, Empathetic, Formal, Meticulous (0.0 to 1.0)

Urgency Metric

Continuous float score from 0.0 to 1.0

Ethical Flags

Detects sensitive_topic, potential_for_harm, user_distress, bias_risk

Task Classifications

Computational_Execution, Knowledge_Synthesis, Code_Generation, etc.

Technical Bypass

Instant bypass for 'create file', 'modify file', 'debug code' keywords

02 / Structural Topology

Execution Pipeline & Component Nodes

Verified Architecture Diagram

EmotionEngine++ · System Pipeline Topology

Derived from Source Code

1Raw User Input

Technical Keyword Fast Bypass Check

2Technical Keyword Fast Bypass Check

Matches Code Editing

Immediate Neutral State

3Technical Keyword Fast Bypass Check

Natural Language

Deep Intent Extraction Prompt

4Deep Intent Extraction Prompt

5-Axis Cognitive Vector Model

5Deep Intent Extraction Prompt

5-Axis Cognitive Vector Model

65-Axis Cognitive Vector Model

Structured Intent Map (JSON)

7Structured Intent Map (JSON)

SynapseFabric Strategy Routing

Autonomous Architectural Pipeline

Deterministic Execution Architecture

03 / Execution Lifecycle

Step-by-Step Runtime Protocol

Input Normalization & Bypass

Checks incoming input against TECHNICAL_BYPASS_KEYWORDS. Pure software engineering queries bypass LLM extraction with zero latency.

Active Modules

TECHNICAL_BYPASS_KEYWORDSgetTechnicalBypassState()

Multi-Modal Context Priming

Integrates optional image metadata (alt text) and audio transcription quality if present into the analysis context.

Active Modules

MultimodalContextMetadataPrimer

Intent Mapping in JSON Mode

Directs LLM to generate a strictly validated JSON intent map containing vector scores, urgency, ethical flags, and task classification.

Active Modules

response_format: { type: 'json_object' }

Cognitive Router Ingestion

Transmits the numeric intent vector directly to SynapseFabric to steer strategy selection between Fast Path, PRA, DAG, or Forging.

Active Modules

SynapseFabricintentVector

04 / Code & Trace Evidence

Implementation Snippet

Output schema enforced by backend/src/services/emotionEngine++.js

json

Actual Source Excerpt

{
  "vector": {
    "analytical": 0.85,
    "creative": 0.20,
    "empathetic": 0.10,
    "formal": 0.90,
    "meticulous": 0.95
  },
  "urgency": 0.70,
  "ethical_considerations": [],
  "strategy_suggestions": ["use_powerful_model"],
  "task_type": "Knowledge_Synthesis"
}

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