Module 9: From Toy to System•Lesson 1 of 6
Scaling Patterns
4 minVideo coming soon
Scaling Patterns
How to grow from a toy to a real system.
Level 1: Personal Assistant
Setup: One agent, one user, one machine
You ←→ Agent (local)Use case: Personal productivity, learning
Scaling concerns: None really. Just works.
Level 2: Always-On Assistant
Setup: One agent, always running, accessible anywhere
You (phone) ←→ Telegram ←→ Agent (VPS)
You (laptop) ←→ Telegram ←→ Agent (VPS)Changes needed:
- Move to VPS or cloud server
- Set up as service (auto-restart)
- Configure channel (Telegram, etc.)
Use case: 24/7 availability, mobile access
Level 3: Multi-Channel Assistant
Setup: One agent, multiple access points
Telegram ─┐
Discord ──┼──→ Agent (VPS)
Signal ───┘Changes needed:
- Configure multiple channels
- Handle different contexts per channel
Use case: Team access, different interfaces for different purposes
Level 4: Multi-Agent System
Setup: Coordinator + specialized workers
You ←→ Coordinator
├──→ Researcher
├──→ Executor
└──→ MonitorChanges needed:
- Define sub-agent roles
- Spawn/coordination patterns
- Model allocation strategy
Use case: Complex workflows, parallel processing
Level 5: Production System
Setup: Robust, monitored, scalable
Load Balancer
├──→ Agent Instance 1
├──→ Agent Instance 2
└──→ Agent Instance 3
↓
Shared Memory StoreChanges needed:
- Containerization
- Monitoring & alerting
- Backup strategies
- Rate limiting
Use case: Business operations, high reliability needed
Where to Start
Most people should aim for Level 2 (always-on) first.
Don't over-engineer. Start simple, scale when needed.