Temperature High vs Low: Same Prompt, Different Output

Leave the temperature dial at its default and “rewrite this recipe” becomes a different answer every time you press Enter. Ask twice about a no-knead focaccia and the first reply proofs the dough for twelve hours while the second invents a thirty-minute shortcut that will not rise. The prompt did not change. The setting did, and it changed what kind of writer answered you.

This article takes one request, rewriting a focaccia recipe into beginner steps, and runs it at a high and a low temperature setting. You will see both prompts, understand why the low setting protects the quantities a beginner depends on, and get a reusable rewrite prompt plus a quick table for picking a setting before you type.

The Same Recipe, Two Different Assistants

A recipe is a strange thing to hand an AI. The words are flexible but the numbers are not. “Dimple the dough with oiled fingers” can be rephrased a dozen ways with no harm. “80 percent hydration” and “proof twelve hours” cannot be touched, because a beginner who trusts a wrong ratio ends up with a flat pan and no idea why.

Temperature controls how far the model ranges from the most likely next word. Set it low and the model stays close to the original text, useful when fidelity matters more than flair. Set it high and the model reaches for variety, useful when you want options but dangerous when the original is a spec. The failure mode in this task is not a bad sentence. It is a changed number.

High Temperature vs Low, One Request

Both prompts below ask for the same rewrite of the same recipe. The first one invites invention.

Rewrite this focaccia recipe in a fun, creative, original way. Surprise me
with a fresh take and add your own touches to make it more exciting.

Recipe: 500g bread flour, 400g water, 10g salt, 4g instant yeast, 60ml
olive oil. Mix, rest 30 minutes, fold twice, cold proof 12 hours, dimple,
bake at 220C for 22 minutes in a 9x13 pan.

The word “surprise me” is an instruction to wander, and at a high setting the model obliges. You get lively prose, a swapped ingredient or two, and at least one step that quietly changes the proofing time or the oven heat. Now the same request written for a low setting.

You are a technical editor rewriting a recipe for a first-time baker. Keep
temperature low and stay close to the source. Do not add, remove, or change
any ingredient or quantity. Preserve every number exactly.

Rules:
- Rewrite each step in plain sentences of 15 words or fewer.
- Name what the baker should see or feel after each step, so they can check
  progress: "the dough looks shaggy and sticky, that is correct."
- Keep the order of steps identical to the source.
- Put the exact quantities in a short list above the steps, unchanged.
- End with the three signs that the dough has gone wrong.

Source recipe: 500g bread flour, 400g water, 10g salt, 4g instant yeast,
60ml olive oil. Mix, rest 30 minutes, fold twice, cold proof 12 hours,
dimple, bake at 220C for 22 minutes in a 9x13 pan.

The first prompt asks the model to be a chef with opinions. The second asks it to be a careful editor. That reframing, plus the low setting, is the whole reason the second output is safe to follow with a bag of flour open on the counter.

Why the Low Setting Wins for Instructions

• The numbers stay put. At a low setting the model treats 80 percent hydration and a twelve-hour proof as fixed, not as material to improve. For a beginner, an unchanged quantity is the entire point.
• The order survives. Low temperature keeps the steps in the source sequence, so mix, fold, proof, dimple, bake arrive in the order a real bake needs them.
• Checkpoints get added, not ideas. The prompt asks for what the baker should see after each step. That is guidance about reality, not new creativity, which is exactly the kind of addition a low setting handles well.
• Flair is capped where it hurts. Plain sentences of fifteen words or fewer remove the wandering phrases that make step eight unclear at 11 p.m.
• Failure signs are requested. Asking for the three signs of a wrong dough turns the rewrite into a troubleshooting guide instead of a cheerier version of the same text.

High temperature is not wrong; it is wrong here. The same setting that ruins a recipe rewrite is the one you want when you ask for ten different ideas. The mistake is leaving the dial wherever it was and expecting fidelity.

Choosing a Setting Before You Type

The table below is a starting point, not a law. Adjust once you see how the model behaves on your own writing.

If your tool does not expose a temperature slider, you can borrow the same discipline with wording. Phrases like “stay close to the source,” “do not change any number,” and “give me the most likely version” push the model toward low-temperature behavior. If you want the parameter details, our notes on ChatGPT temperature and top-p cover how the two interact.

What Each Rewrite Looks Like on the Page

Run the first prompt at a high setting and a step that should read “cold proof for 12 hours” arrives as something like: “Crown the dough with a generous veil of your finest olive oil, then cradle it in the fridge overnight, or for as long as your patience allows.” It is lovely prose and a silent instruction change, because “as long as your patience allows” can turn twelve hours into four, and the loaf falls flat.

The second prompt at a low setting keeps the number and adds the check the beginner needs. The same step shows up as: “Cover the pan and put it in the fridge for 12 hours. The dough should look puffy and full of bubbles. If it has not risen, the fridge was too cold.” Two sentences, one fixed quantity, and one way to tell whether reality matched the plan.

Across the whole recipe the pattern holds. The high-setting version is more fun to read and less safe to follow. The low-setting version reads plainly and can be trusted with the oven already preheating. For a first-time baker, the second trade is the one you want.

The Rewrite Prompt I Reuse

Fill the blanks and keep the guardrails. This template works for any document where the words are flexible and the facts are not, from recipes to policy steps to onboarding checklists.

You are a technical editor rewriting {{document type}} for {{audience}}.
Keep temperature low and stay close to the source. Do not add, remove, or
change any fact, ingredient, or quantity. Preserve every number exactly.

Rules:
- Rewrite each step in plain sentences of {{n}} words or fewer.
- Name what the reader should see or check after each step.
- Keep the original order of steps.
- List the exact figures unchanged above the steps.
- End with the {{n}} signs that something has gone wrong.

Source: {{paste the original text}}

The habit transfers to every other writing task. When you are tuning a longer piece rather than a recipe, the same thinking sits behind getting your ChatGPT writing settings right, and if you are unsure how much of the instruction belongs in a persistent place, our note on system versus user prompts explains where each belongs.

Two Habits That Carry Over

The first habit is to say what must stay fixed before you say what may change. “Rewrite this for a beginner, but every quantity must survive untouched” does more to protect a recipe or a spec than any slider, because it tells the model which words are load-bearing.

The second habit is to pick the setting from the task, not from habit. A low setting for instructions and a high setting for ideas is a rule you can apply in two seconds and that saves a rewrite almost every time. If you only remember one line from this article, make it that one.

Sources & Notes

The temperature ranges here are commonly cited defaults for GPT-class models; exact values differ by tool and version, so confirm the current range in your own interface. The focaccia and the twelve-hour proof are illustrative. Temperature shapes how far a model roams from the most likely answer, but it does not guarantee correctness, so always read a rewritten instruction against the original numbers before you rely on it.