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LifeOps Architecture

Enterprise-grade relationship intelligence platform built with Domain-Driven Design, Effect-TS, and science-backed psychology research.

6
Bounded Contexts
25
Signal Dimensions
22
Fine Patterns
6
Error Types

Domain Map

High-level view of LifeOps bounded contexts and their interactions

6
Core Domains
5
External Systems
11
API Connections
4
Event Flows
Relationship Intelligence
Fine Decoder, Error Detection, Analysis
Signal Intelligence
7 behavioral dimensions extracted
Draft Generation
RAG + Signals → 75-80% style match

Domain Types & Entities

Core type definitions and their relationships

4
Aggregates
2
Value Objects
1
Enums

Type Safety with Effect-TS

Effect.Effect<FineResponse, DecodeError, AnalysisService>

Every operation explicitly declares its success type, error types, and dependencies.

Fine Decoder™ State Machine

How ambiguous messages are decoded through pattern matching and confidence calculation

22
Pattern Matches
8
Danger Signals
97%
Max Confidence
ACTUALLY_FINE
Rare but possible
NOT_FINE_INVESTIGATE
Most common
FINAL_WARNING
Stop what you're doing
SHOULD_ALREADY_KNOW
Check calendar

RAG + Signals Draft Pipeline

How context-aware responses are generated using semantic search and behavioral signals

5
RAG Top-K
7
Signal Dims
75-80%
Style Match

Why RAG + Signals?

Basic RAG (60-70% match): Just retrieves similar messages
RAG + Signals (75-80% match): Enforces emoji count, message length, common phrases, tone

Domain Event Flow

Event-driven architecture showing how domain events propagate through the system

4
Event Types
3
Handlers
1
ACL Layers

Domain Events

  • • MessageReceived - New message synced
  • • SyncCompleted - Batch sync finished
  • • ErrorDetected - Relationship error found
  • • SignalsUpdated - Profile recalculated

Anti-Corruption Layer

WhatsApp protocol complexity isolated in Go binary. Domain code only sees clean JSON interfaces.

Roadmap & Phases

From foundation to full relationship intelligence platform

Phase 0Foundation
100%

Effect-TS, DDD, WhatsApp Sync, Signal Extraction

Phase 1Self-DM Interface
0%

@lifeops commands via WhatsApp

Phase 2Gottman Features
0%

Four Horsemen, Magic Ratio, Bid Tracking

Phase 3Intelligence Layer
0%

Love Languages, A.R.E. Score, Attachment Styles

Phase 4Safety Features
0%

Travel Safety, SOS Detection, Check-ins

Phase 5Multi-Channel
0%

Email, Calendar, SMS Integration

Science-Backed Foundation

Built on peer-reviewed relationship psychology research

Gottman Research

40+ years studying 3,000+ couples

  • Four Horsemen detection (90% divorce prediction)
  • 5:1 Magic Ratio tracking
  • Bid response analysis

Attachment Theory

Explains ~80% of relationship patterns

  • A.R.E. Framework (Accessible, Responsive, Engaged)
  • Attachment style detection
  • Anxious-Avoidant trap warning

Communication Science

NVC & conflict resolution research

  • NVC translation (accusatory → constructive)
  • Love language detection
  • Apology language matching