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One prompt, fixed steps, or a loop?

Jun 23, 2026

Most AI tasks do not need a loop.

Some tasks only need one clear instruction. Some need a short list of steps. A loop is only worth it when the AI needs to learn something from the result of its own action.

That is the simple rule:

If the AI has nothing new to react to after it acts, do not use a loop.

Use one prompt when the job has one clear answer

A prompt is the simplest setup.

You ask once. The AI answers once. Nothing needs to be checked afterward before the AI can continue.

Good examples:

The test is simple: after the AI answers, would another AI action reveal important new information?

If the answer is no, use one prompt.

Use fixed steps when the order is already known

Fixed steps are useful when the work has a clear order.

The AI does step 1, then step 2, then step 3. The steps do not change based on surprise results.

Good examples:

The test: can you write the steps before the AI starts?

If yes, and the steps will not change, use fixed steps.

Use a loop when the AI must react to what happened

A loop means:

  1. Try something.
  2. Check what happened.
  3. Use that result to decide the next move.
  4. Stop when the goal is reached.

Good examples:

The test: does acting produce information the AI should use next?

If yes, use a loop.

The easiest decision table

Task shapeBest setup
One clear answerOne prompt
A known list of stepsFixed steps
Try, check, then decide what to do nextLoop
Risky choice or human judgmentLoop with human approval

When you are unsure

Start simple.

Use one prompt first. If the answer is good enough, stop there. If the AI needs to check something, react to an error, compare options, or ask a person before moving forward, upgrade to a loop.

A loop should earn its place. It costs more time, more attention, and usually more money. Use it when the task actually gives the AI something useful to react to.

Want a recommendation for your own task? Try Should I Loop?

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