Free tools / Agent or workflow?

Does this job need an AI agent?

Eight questions about one workflow. You'll get our read: an agent, a workflow with an LLM step, plain automation, or a process to fix first.

01 / 8How different are the inputs from one case to the next?
02 / 8Could you write the decision rules down?
03 / 8How many steps does one case take?
04 / 8How much of the input is free text (emails, documents, chats)?
05 / 8What does a mistake cost?
06 / 8How often does it run?
07 / 8Can software reach the systems involved?
08 / 8How settled is the process today?

FAQ

Agents, workflows and when to use which

What is the difference between an AI agent and a workflow?

A workflow follows steps you define in advance; a model may handle some of them, such as reading a document. An agent decides which steps to take based on what it finds, using the tools it is given. Agents handle variety better, and need tighter limits and review.

When is an agent the wrong choice?

When the rules can be written down, the inputs are predictable or the volume is low. Plain automation is cheaper, faster and easier to audit in those cases.

Can we start with a workflow and add an agent later?

Yes, and it is often the right order. A workflow with one model step proves the data and the integrations; an agent can take over the variable cases once there is an evaluation set to measure it against.

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Bring one workflow. We'll tell you if an agent should run it.

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