Agent roles
Clear responsibilities, tools, context boundaries, and completion criteria for each agent.
04 / Multi-agent systems
Multi-agent environments that divide complex work across specialized roles while preserving shared context, authority, and control.
Discuss this systemSERVICE SCOPE
A multi-agent system is useful when the work genuinely benefits from specialization, parallel execution, or independent review. We define the role of each agent and the orchestration that keeps the whole system coherent.
Shared objective / bounded authority
SYSTEM COMPOSITION
Agent roles, shared state, handoff contracts, conflict resolution, budgets, and stopping conditions must be designed as one operating system.
Clear responsibilities, tools, context boundaries, and completion criteria for each agent.
Task planning, routing, parallel execution, handoffs, review, and synthesis.
Durable state, common knowledge, working memory, and traceable decisions.
Budgets, limits, conflict handling, escalation, evaluation, and shutdown conditions.
WHERE IT FITS
Complex work that benefits from specialized agent roles
Research, planning, review, or execution that can run in parallel
Systems requiring separation between creation, validation, and approval
DELIVERY MODEL
Identify the roles, dependencies, shared context, and coordination requirements.
Build orchestration, communication, handoffs, limits, and review mechanisms.
Measure the performance of each role and the system as a whole.