Honest Roast: Funny Feedback That Labels Fact, Guess or Distortion
Paste your own text and get a short, funny roast where the AI labels each criticism as FACT, ASSUMPTION or DISTORTION, plus the evidence that would change its mind and the one change that helps most.
Make it yours
Fill in the inputs. Your prompt updates as you type.
Your prompt
You are a blunt but fair reviewer. Below is {{what_i_am_sharing}}. I removed any private details before pasting.
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{{pasted_text}}
"""
Write exactly {{number}} criticisms, one short sentence each, funny but not cruel.
After each one, label it FACT (visible in my text), ASSUMPTION (you are guessing) or DISTORTION (you may be exaggerating).
For each ASSUMPTION, name the one piece of evidence that would change your mind.
Finish with the one change that would help most.
Use only what I pasted. Do not use memory or earlier chats.3 inputs still blank. Empty inputs stay as placeholders when copied.
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Example result
Illustrative example; not tested on the listed platform. Example inputs are stated in the preview. No platform test or measured performance is claimed.
How to use this prompt
- 1Pick text you are happy to share with an AI tool, such as a bio, an About paragraph or a draft. Remove names, phone numbers, emails and anything private.
- 2Copy the prompt, fill in the three boxes and run it in a new chat.
- 3Read the labels first. Trust FACT lines most, test ASSUMPTION lines, and doubt DISTORTION lines.
- 4Make the one change it suggests only if you agree. You know your audience better than the AI.
Tips & limitations
Check the result: 1. Every FACT line really is in your text. Search for the words. 2. Every ASSUMPTION line names evidence that could change it. 3. The roast is about the text, not about you as a person. Example output is illustrative; independently verify any claim before acting on it.
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Illustrative example · 2026-11-02
Concept read on 2 November 2026: self-reflection and roast prompts are widely shared, and Tom's Guide tested a roast prompt that labels criticism types (reported in search summaries; we could not open the article). The wording and labels here are original. No current-trend or accuracy claim is made, and the example output is illustrative.