Whats Next: Multi-Agent Architecture

The Vision: Autonomous Executive Support

The current TimOS is reactive – it responds when you interact with it. The next phase makes it
proactive. Imagine an AI that:

• Notices you haven’t logged a morning pulse by 9am and gently prompts you
• Detects a pattern of low energy on Wednesdays and asks what’s happening
• Prepares your daily briefing before you ask for it
• Warns you when pillar scores are trending down

The Multi-Agent Architecture

Rather than one monolithic AI, TimOS will use specialized agents that collaborate:

Agent Communication

┌─────────────────────────────────────────────────────────┐
│                    USER INTERACTION                      │
└─────────────────────┬───────────────────────────────────┘
                      │
                      ▼
┌─────────────────────────────────────────────────────────┐
│               ORCHESTRATOR AGENT                         │
│  • Classifies intent                                     │
│  • Routes to appropriate agent                           │
│  • Manages conversation state                            │
│  • Handles agent handoffs                                │
└─────┬─────────┬─────────┬─────────┬─────────────────────┘
      │         │         │         │
      ▼         ▼         ▼         ▼
┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐
│ CAPTURE │ │ ANALYSIS│ │  COACH  │ │ SKILLS  │
│  AGENT  │ │  AGENT  │ │  AGENT  │ │ SYSTEM  │
└─────────┘ └─────────┘ └─────────┘ └─────────┘
      │         │         │         │
      └─────────┴─────────┴─────────┘
                      │
                      ▼
┌─────────────────────────────────────────────────────────┐
│                  SHARED CONTEXT                          │
│  • User profile + preferences                           │
│  • Recent interactions                                   │
│  • Active tasks + goals                                  │
│  • Historical patterns                                   │
└─────────────────────────────────────────────────────────┘

Proactive Triggers

Agents can trigger based on conditions, not just user requests:

// Trigger configuration examples
const PROACTIVE_TRIGGERS = [
  {
    name: 'missing-morning-pulse',
    condition: {
      type: 'time-based',
      check: 'morning_pulse_not_completed',
      time: '09:00',
      timezone: 'user'
    },
    action: {
      agent: 'coach',
      prompt: 'gentle-reminder',
      channel: 'push'
    }
  },
  {
    name: 'energy-pattern-detected',
    condition: {
      type: 'pattern-based',
      check: 'low_energy_same_day_3_weeks',
      evaluation: 'weekly'
    },
    action: {
      agent: 'analysis',
      prompt: 'investigate-pattern',
      channel: 'in-app'
    }
  },
  {
    name: 'pillar-score-decline',
    condition: {
      type: 'threshold-based',
      check: 'pillar_score_dropped',
      threshold: 2,
      period: '7d'
    },
    action: {
      agent: 'coach',
      prompt: 'address-decline',
      channel: 'push'
    }
  }
];

Development Roadmap

The Coach Agent Vision

The Coach Agent is the most ambitious piece. It needs to:

This isn’t generic chatbot territory – it’s building a personalized executive coach that gets
better the more you use it.

Technical Challenges Ahead