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What is a Workforce?

A Workforce is a team of AI agents that work together to complete multi-step tasks. Instead of building one agent that tries to do everything, you connect specialists — each handling a different part of the process — on a visual canvas. Think of it like a team of employees: a researcher gathers information, a writer drafts the output, and a reviewer checks the quality. Each agent focuses on what it’s best at, and the Workforce handles the handoffs between them.

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What are the benefits of a Workforce?

Break down complex tasks

Split multi-step processes across specialized agents instead of overloading a single one.

Visual workflow builder

Design agent teams with drag-and-drop — no code, easy to understand and modify.

Flexible routing

Use AI-driven handoffs, fixed sequences, or conditional logic to control how work flows between agents.

End-to-end monitoring

Track every step of a workflow to see what’s working and where things get stuck.

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How Workforces Work

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Connection types

When building your agent workflows, you choose how agents hand off to each other:
  • AI connection — the agent decides when to pass control to another agent based on context. Great when you want the agent to use judgement about whether another specialist is needed.
  • Next step — a mandatory transition. When one agent finishes, the next one starts automatically. Use this for predictable, sequential processes.

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Tool integration

You can connect tools directly within your workflow:
  • Connect tools to agents to extend what they can do
  • Link tools to other tools to create processing chains
  • Combine agent intelligence with specialized tool functionality

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Conditional logic

Make your workflows smarter with routing rules:
  • Create “if this, then that” rules to determine workflow paths
  • Set up decision points that route tasks based on specific criteria
  • Build adaptive workflows that respond differently depending on inputs or outcomes

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Where are Workforces most useful?

Workforces are ideal when a task requires multiple steps, skills, or handoffs that a single agent can’t handle well on its own:
  • Content pipelines: A researcher gathers information, a writer drafts the content, and a reviewer checks quality before publishing
  • Lead processing: One agent qualifies inbound leads, another enriches the data, and a third routes them to the right sales rep
  • Customer support escalation: A frontline agent handles common questions and hands off complex issues to a specialist agent
  • Report generation: Agents collect data from multiple sources, analyze it, and compile a final report
  • Onboarding workflows: Coordinate welcome emails, account setup, training material delivery, and check-ins across multiple agents

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How to get the most from your Workforce?

  1. Start with a clear workflow: Map out your process before building — know which agents handle which steps and how they hand off.
  2. Keep agents focused: Each agent should have a single responsibility. A researcher shouldn’t also be writing and reviewing.
  3. Choose the right connection type: Use AI connections when the agent needs judgement about handoffs. Use next step for predictable, sequential flows.
  4. Name connections clearly: Descriptive names document the purpose of each handoff and make your workflow easier to understand.
  5. Test with varied inputs: Run different scenarios to make sure routing works as expected and edge cases are handled.
  6. Monitor and optimize: Review workflow performance regularly to identify bottlenecks or communication gaps between agents.

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Frequently asked questions (FAQs)

There’s no hard limit on the number of agents in a Workforce. However, simpler workflows with clearly defined roles tend to perform better than overly complex ones.
An AI connection lets the agent decide when to hand off based on context — it uses judgement. A next step is a mandatory transition that always fires when the previous agent finishes. Use AI connections for flexible routing and next steps for predictable sequences.
Yes. You can connect tools directly to agents within your Workforce, or link tools to other tools to create processing chains.
Yes. The same agent can participate in multiple Workforces. This is useful when a specialist agent — like a data enrichment agent — is needed in several different workflows.
Review the workflow execution to see which agent handled each step, what it received, and what it passed on. This helps you identify where the process broke down — whether it’s a routing issue, a tool failure, or a prompt that needs refining.

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Ready to get started with Workforces?

Create a Workforce

Create a multi-agent workflow on the visual canvas

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See how to build an AI content creation team in Workforce

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