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Agents vs fixed workflows: where should decisions happen?

The central question is where your software should allow a model to choose its next step.

PromptWireGlobal2 min read
Agents vs fixed workflows: where should decisions happen?
Conceptual illustration for PromptWire.

In this story

The quick read

  • Write down what happens when an input is missing, a tool fails or the model selects an unhelpful action.
  • Use predefined steps for repeatable transformations and approvals.

Map the decisions

A fixed workflow defines its stages in advance. An agent can choose actions or paths within an environment. Anthropic’s engineering guidance distinguishes these patterns and recommends starting with the simplest architecture that fits the task. Flexibility adds value only when the task genuinely needs it.

Compare failure handling

Write down what happens when an input is missing, a tool fails or the model selects an unhelpful action. A fixed flow is easier to inspect when steps are predictable. An agent needs budgets, stop conditions, permission boundaries and a record of what it tried.

Allow bounded freedom

Use predefined steps for repeatable transformations and approvals. Consider an agent for exploration where the next useful action depends on what it discovers. Keep consequential actions behind explicit controls and test whether the added decision-making actually reduces the user’s work.

Sources & notes

An editorial decision framework, not a scored benchmark or hands-on test.

anthropic.com — official reference

Sources reviewed for the September 2026 launch edition.

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