ChatGPT

Verified against ChatGPT · 2026-06-20

Make ChatGPT critique its own draft before you ever see the final version

A three-pass draft, critique, and revise prompt that forces a real self-critique against named criteria instead of letting the first fluent answer ship unexamined.

ChatGPT (GPT-5.1)

The prompt

Ready to copy — highlighted parts are example details you can swap.

Do this task in three visible passes, in one response. Do not skip straight to a polished answer.

TASK
Write a 150-word LinkedIn post announcing our new pricing model without sounding like a press release

PASS 1 — DRAFT
Write a first attempt. Do not over-optimize it yet, this is a working draft.

PASS 2 — CRITIQUE
Re-read your own draft as a skeptical editor who did not write it. Check specifically for: clichés, unsupported claims, and whether the hook in the first line actually earns a click to read more. Name at least two real weaknesses. If you genuinely cannot find one, that is itself suspicious, and you should look harder before concluding the draft is fine. Do not critique things that do not matter for this task just to have something to say.

PASS 3 — REVISION
Rewrite the draft to fix every weakness named in pass 2. Do not reintroduce a weakness you just fixed. After the revision, list which pass-2 criticism each change addresses.

Show all three passes, not just the final revision. I want to see what changed and why.
Customize the highlighted detailsoptional — the prompt above already works

Why this works

This is the draft, critique, revise pattern, sometimes called self-refine prompting, which is documented to measurably improve output quality over asking for a single-pass answer, because a model evaluating a draft it has already externalized as finished text engages a more critical mode than the generation mode it used to produce that same draft. First-pass generation is optimized to produce a plausible, fluent continuation; a critique pass explicitly told to look for what is wrong activates a different weighting than produce something good does, which is why asking for both in the same turn, rather than trusting the first draft, changes the outcome rather than just adding words. Naming specific critique criteria prevents the critique pass from defaulting to generic praise, the most common failure mode of unscoped self-evaluation, where a model politely validates its own work rather than actually stress-testing it. The instruction that finding zero weaknesses is itself suspicious directly targets a documented tendency for models to rate their own output more favorably than an independent judge would, and requiring the pass-2-to-pass-3 mapping at the end makes the revision auditable, so a reader can check that a named flaw was actually fixed rather than the model quietly rewriting for tone instead.

What you get back

Pass 2 critique example: "Weakness 1: the opening line, We are excited to announce, is the exact cliché a press release uses and signals corporate-speak before anyone reads further. Weakness 2: the claim easier pricing for everyone is unsupported, nothing in the draft explains what changed or for whom." Pass 3 then replaces the opening with a specific number and removes the unsupported claim, mapped back to both named weaknesses.

Verified against

ChatGPT GPT-5.1 · 2026-06-20

Changelog

  • 2026-06-20 Initial publish, verified against ChatGPT GPT-5.1.

Building this for real?

This is a free starting point. If you'd rather have what Scult builds built and running for your business, that's Scult's day job.

EXPLORE WHAT SCULT BUILDS
All ChatGPT prompts

Check your AI visibility

One URL in, a 0–100 score and the exact fixes out.

RUN THE CHECK

Browse all the tools

15 tools across six categories
13 of them never send your data anywhere

Free · No signup · No trial clock

SEE THE DIRECTORY