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Do you need a loop? A 5-question test

Jun 26, 2026

You do not need a technical framework to decide whether an AI task needs a loop.

You only need five questions.

If you answer yes to any of the questions below, a loop may help. If you answer no to all of them, start with one prompt or fixed steps.

1. Will the AI learn something useful after it tries?

This is the main question.

If the AI tries something and gets a useful result back, it should probably use that result before doing the next thing.

Examples:

If nothing useful comes back, a loop is probably extra weight.

2. Does the AI need to check whether the work is good enough?

Some tasks need a check before they can be trusted.

Examples:

If the AI must check the result and revise it, use a Retry Loop or Checker Loop.

3. Can the next step change based on what happened earlier?

Fixed steps are fine when the order never changes.

But if step 3 depends on what happened in step 2, the AI needs a loop. It has to look at the result before choosing the next move.

Use a Plan and Check Loop when the task has several parts and each part should be checked.

4. Is there a risky choice a person should approve?

Some tasks should pause before important actions.

Examples:

In those cases, use a Human Approval Loop. The AI can prepare the work, but a person approves the risky step.

5. Should this happen again and again?

Some tasks are not one-time tasks.

Examples:

If the task wakes up on a schedule or after a new event, use a Triggered Loop.

Simple scoring

The goal is not to make everything a loop. The goal is to choose the smallest setup that can do the job.

This is the same logic behind Should I Loop?. Describe your task, and the tool turns it into a plain recommendation.

Was this useful?

Put it into practice. Describe your task and get a verdict.

Try “Should I Loop?”