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What is an agent

What an agent is on Nagent, the parts every agent is made of, when a custom agent is worth building, and what Nagent adds that an agent builder does not.

An agent is a teammate with a job, a level and a record

On Nagent an agent is an AI teammate that works in your workspace. It has a role, the skills and tools it may use, your knowledge to work from, a memory of what it has done, and an autonomy level that decides how much it may do without asking a person first.

Every agent has its own page in the Agent Workbench. The top of that page says who the agent is and how far it is trusted: its status, its autonomy level, its trust score, its runs in the last day, its risk level and its cost per run.

NORA's page in the Agent Workbench: her name and description, Pause and Sandbox, and tiles for status, autonomy at L4, trust, runs, risk and cost per run

What every agent is made of

PartWhat it isWhere you see it on its page
RoleA name, a description and a system promptConfiguration
SkillsWritten procedures it is allowed to followSkills
ToolsThe outside apps and actions it may useTools & Integration
GuardrailsRules it checks before actingGuardrails
AutonomyIts level, from L1 Observer to L5 PrincipalThe Autonomy tile
BudgetA daily and a monthly spending capBudget
Reporting lineWho it reports to and hands work toConfiguration

Two of these deserve a sentence each.

The level belongs to the agent. Every action an agent can take declares the level it needs to run on its own. When the agent's level meets it, the action runs. When it does not, the action waits for a person. A level rises when a person reviews the agent's record and raises it, never because time passed. See autonomy and governance.

The budget is a stop, not a report. Before a paid call, Nagent checks what the agent has left under its caps and refuses the call if it would go over. See credits and budgets.

Our logic

Most tools define an agent by what it can do. Nagent defines it just as much by what it is allowed to do, and by how that allowance grows. An agent whose limits you cannot see is not one you can hand real work to.

Where agents work

Agents do their work in teams. A team is a room where your people and your agents talk on one record, and an agent answers when someone addresses it. The Workbench counts every agent at its level, so you can see at a glance how much of your workforce acts alone and how much asks first.

The Agent Workbench, counting the workspace's agents at each level from L1 Observer to L5 Principal, above the org chart

See setting up a team and the team room.

Prebuilt teams first, custom agents for your own work

Nagent's prebuilt teams cover sales, marketing and content. The teams you chose at sign-up are installed with their agents already seated, so for most workspaces they are the place to start. See prebuilt teams.

Choosing teams at sign-up: Sales and Marketing, each led by a chief of staff, with team leads marked Live or Coming soon

Build a custom agent when the work belongs to your organisation rather than to the function:

  1. The process is your own. A pricing approval, a compliance check, a quality gate that exists nowhere else.
  2. The knowledge is internal. Price lists, contract templates or past decisions that no prebuilt agent has seen.
  3. The tools are yours. The work runs through apps the prebuilt agents do not use.
  4. The oversight is unusual. Some roles need a lower level or a tighter budget than the defaults.

A prebuilt agent that almost fits is often the better start: change its set-up on its page instead. When Nagent ships a newer version of an agent your workspace runs, its page says so and offers Review and Switch to the new version, so your changes are never replaced without you choosing.

Custom agents are made in Build AI Team. You describe the job, review the draft, and nothing is created until you accept it. See creating an agent.

Build AI Team: one chat for building agents, skills and workflows, with links to the Agent Workbench, the agent builder, workflows and skills

What Nagent adds to an agent builder

Plenty of tools help a developer build an agent. The harder part comes afterwards: running many agents for an organisation, over months, with people who do not write code supervising them.

QuestionOn Nagent
What may this agent do alone?Its level, checked on every action
How much may it spend?Its caps, checked before each paid call
Who approved that action?The approval, recorded against the person
How do non-developers work with it?In team rooms, with briefs, a board and approvals
How do agents work together?In teams, with a lead and a reporting line

Where to go next