Agent teams

Build an AI team around the way your business actually works.

Start with prebuilt specialists or create your own. Configure what each agent knows, what it can use, and how it contributes to a larger project.

Start building your workspace See plans

No code · review gates · work organized by business

druidx — agent-teams

druidx run agent-teams. loading business context. prebuilt-departments, begin with specialist groups designed around common business responsibilities. custom-agent-builder, define a role, instructions, model, and working style for a new specialist. skills-and-tools, control which capabilities an agent can use instead of giving every agent unrestricted access. connectors, attach the external systems relevant to the agent's job through the available integration layer. knowledge-and-memory, ground an agent in workspace material and retain useful context across longer work. 5 steps complete · output saved to Library.

review gates on, outputs keptSee plans →

Use the right specialist for each part of the outcome without managing every handoff yourself.

One general assistant is rarely the best researcher, writer, analyst, website operator, and reviewer at the same time. DruidX lets teams divide responsibilities while an orchestrator keeps the shared objective visible.

Everything the run needs, built in.

6 capabilities

Prebuilt departments

Begin with specialist groups designed around common business responsibilities.

Custom agent builder

Define a role, instructions, model, and working style for a new specialist.

Skills and tools

Control which capabilities an agent can use instead of giving every agent unrestricted access.

Connectors

Attach the external systems relevant to the agent's job through the available integration layer.

Knowledge and memory

Ground an agent in workspace material and retain useful context across longer work.

Questions and approvals

Let the team pause when a decision or consequential action needs human input.

From business context to finished work.

The objective, the execution, and the outputs stay connected, so nothing gets rebuilt in the next tool.

1

Choose the specialists

Start with a prebuilt team or create agents around the responsibilities in your process.

2

Set their boundaries

Assign the right skills, tools, connectors, knowledge, and memory to each role.

3

Give the team an outcome

Launch a project and review status, questions, approvals, findings, and outputs as it runs.

What you walk away with.

Useful outputs your team can open, share, and build on — not another stream of chat.

  • Clear roles for different parts of a complex task.
  • Controlled access to tools and business knowledge.
  • A coordinated run around one shared objective.
  • Visible questions and approvals when human judgment matters.
  • Specialists that can be reused across future projects.

Where teams point it first.

Growth team

Coordinate research, lead discovery, content, web, and analytics roles around a campaign.

Research council

Invite multiple specialist viewpoints before producing a recommendation.

Custom operations

Model a repeated internal process with agents tailored to your terminology and tools.

Keep exploring the workspace.

Your next move

Give your next business goal a place to get done.

Set up a workspace, add the context that matters, and let your AI team turn the goal into reviewed, reusable work.

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