Specialized Agents
Our agent architecture can isolate recurring responsibilities into narrower agents with task-specific context, tools, permissions, and evaluation criteria.
Fewer things at once
Specialization reduces the number of things one agent is expected to understand and control at once. A finance-oriented agent, for example, can operate against a different tool surface and validation regime than an agent reviewing customer communications.
Narrower execution surface
A specialized agent can be defined by:
- Responsibility
- Allowed context
- Allowed tools
- Output contract
- Validation rules
- Escalation boundary
This creates several practical advantages. Prompts can be narrower. Tool permissions can be tighter. Evaluation sets can map more directly to the responsibility. Failures can be classified more clearly because the component has a smaller mandate.
Specialization can also reduce accidental cross-domain action. An agent responsible for analysis does not need write access to every operating system merely because another workflow does.
Routing
Specialized agents require a routing mechanism. The system must determine which component should receive the task, which context belongs with it, and what happens when the task spans multiple domains.
A narrow agent that receives the wrong workload can be less capable than a general model. For this reason, specialization and orchestration are coupled: better local constraints create more global routing and maintenance requirements.
When specialization is useful
We consider narrower agents where:
- The task recurs
- The responsibility is stable
- Tool access can be bounded
- Independent evaluation is feasible
- The failure modes differ materially by domain
We avoid creating separate agents merely to make the architecture appear sophisticated. The correct number of agents is the smallest number that gives the production system the desired clarity, permissions, evaluability, and reliability.
Evaluation boundary
Specialization becomes most useful when each agent has an explicit output contract. A customer-risk agent can be evaluated on whether it identifies the correct evidence and risk state. A finance-oriented agent can be tested on a different set of records, calculations, and tool behaviors. This is easier than evaluating one unconstrained agent whose responsibilities change from request to request.
The tradeoff is system-level coordination. Narrow agents require routing, shared entity identity, state transfer, and escalation when a task falls outside the specialization boundary.
We treat specialized agents as bounded production components, not personalities or virtual employees.
Their value comes from constrained responsibility and testability, not from giving each agent a name.