# Journey 5: Team / Small Company

**Persona**: Team Lead Tomas
**Scenario**: 5-person startup, 3 GPUs across team members' desks
**Status**: Designed (Hive Mode built, relay needed for cross-network)

## Steps

1. Each team member runs `llmhosts up` on their GPU machine
2. Team lead creates a Hive: `llmhosts hive create "startup-ai"`
3. Members join: `llmhosts hive join <invite-code>`
4. Requests auto-route to the best available GPU (karma-weighted)
5. Privacy controls: PII stays local, shared prompts route across Hive

## Cost Savings

3x RTX 4090s at $0/month vs. $600/month on OpenAI API.

## Success Criteria

- [ ] All team members' GPUs discoverable in Hive
- [ ] Requests route to GPU with lowest latency and appropriate model
- [ ] PII-flagged requests never leave the originating device
- [ ] Team dashboard shows per-member usage and savings
- [ ] Cost tracking accurate across all Hive nodes

## Features Exercised

- Hive Mode GPU pooling
- Karma-weighted routing
- Privacy routing (IslandRun)
- Team spend dashboard
- Relay tunnel (each member's machine → VPS)

## Dependencies

- Relay (each member needs a relay connection)
- Hive Mode coordination layer
- Team billing (Stripe Connect)
