Multiple AI agents is the normal end state of serious agent work.
One oracle chat does not scale. Companies need roles: research, sales ops, support, shipping—each scoped, each owned.
Design for handoffs
Multiple agents fail when handoffs are tribal:
- Who may message customers?
- What requires human approval?
- What memory may the next agent open?
That is communication + memory design, not more models.
Collections as role packs
Fork department shapes instead of inventing personas:
Measure the fleet
Multiple agents without LLM observability and token usage is uncontrolled spend. Measure what ran and what it cost.
Learn the OS
jurniti: managed microVMs for harness fleets, BYOK, templates—no free trial; 30-day money-back on first purchase.