Team of AI Agents by Role

In short

A single universal agent gradually acquires too many tools, data, and responsibilities, making its errors difficult to localize and the usefulness of its role hard to measure.

Outcome

The system defines narrow roles with separate inputs, permissions, acceptance evidence, and owners, adding the next agent only after the previous one is stable.

How the automation runs

Trigger

The team identified a recurring task with a clear input and verifiable output

Automation steps

1. Groups recurring tasks by one job per role
2. Defines input, output, tools, prohibitions, and escalation path
3. Launches one role in a limited pilot
4. Collects evidence of useful results and errors
5. Opens the next role only after review or removes unused roles from operation

Human check

The owner approves each role, permissions, and external actions; payments, publications, data deletion, and messages to people remain separate explicit approvals.

Outcome

The system defines narrow roles with separate inputs, permissions, acceptance evidence, and owners, adding the next agent only after the previous one is stable.

Using it

When to use it

Routine is repetitive, but a universal assistant already mixes contexts, and the organization needs a managed way to delegate by one role.

How to verify

Each active role has an owner, minimal permissions, a run log, and verifiable useful output; an unused role is detected by audit and safely disabled by a person.

Tools

Recipe details