Documentation/From Agents to Workforces
Section 01

From Agents to Synthetic Workforces

The evolution from conversation to coordination

The first generation of AI systems focused on conversation—large language models embedded in chat interfaces. The second generation introduced agents: systems able to call tools, browse the web, and execute multi-step instructions.

Mirathis represents the third generation: synthetic workforces.

Instead of a single anonymous "agent", Mirathis provides a roster of employees with:

Clear roles

e.g., CTO, CFO, CS Lead, Personal Assistant

Dedicated tool access

Domain knowledge specific to each role

Shared memory

Organizational context across all employees

Coordinated execution

Common orchestration layer for planning

The result is a system that behaves not like a single assistant, but like a cohesive, high-output organization.

Evolution Timeline
Gen 1

Conversation

Large language models in chat interfaces. Static responses, no tool use.

Gen 2

Agents

Systems with tool-calling, web browsing, multi-step execution. Single-threaded workflows.

Gen 3

Synthetic Workforces

Coordinated teams of specialized AI employees. Shared memory, hierarchical planning, cross-domain collaboration.

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