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Answers · 2 min

When do you need an agent vs a workflow?

Short answer: workflows for deterministic loops; agents when tools and judgment must combine under guardrails.

Use a workflow when steps are known, repeatable, and mostly deterministic — confirmations, reminders, sync jobs, status updates.

Use an agent when the system must choose tools, interpret messy input, or escalate with judgment — still with hard boundaries and human handoff.

If you are unsure, start with the workflow — preferably on a real platform backend. Agents earn their place when a brittle flow keeps failing on edge cases.

Can you write down the steps in advance?

A booking confirmation is a useful example: validate the booking, record it, send confirmation, and schedule a reminder. The path is known, including the conditions for cancellation or a failed message. A workflow makes those states visible and repeatable.

Does the next action depend on interpretation?

A messy support request may require reading context, finding the relevant record, and choosing a tool before proposing an action. An agent can be appropriate for that variable path, provided its available tools and authority match the task.

Keep the same operational boundaries

Whichever approach you choose, define completion, failure, and handoff. Start with a narrow task and expand only when the team can evaluate the result and recover when something goes wrong.

  • Specify which actions can run automatically.
  • Keep a human decision where the workflow requires approval.
  • Record what happened and provide a clear route to correction.
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