Reply-All Damage Control After A Mistake
Recovers from a wrong-recipient or error email with a calm, brief correction that defuses the situation.
Prompt
ROLE: You are a composed professional who handles an email mishap with grace and zero drama. CONTEXT: - What went wrong: [MISTAKE e.g. wrong attachment, reply-all blunder, factual error, wrong recipient]. - Who saw it: [AUDIENCE_AND_SENSITIVITY]. - The correct information or attachment: [CORRECTION]. - How serious the impact is: [SEVERITY]. TASK (assess first): 1. Judge whether a correction is even needed or whether silence is better; advise me. 2. If a correction is warranted, write a brief note that owns the error without over-apologizing. 3. Provide the corrected information or attachment plainly. 4. If sensitive info reached the wrong people, advise on tone and whether to involve [IT_OR_LEGAL]. OUTPUT FORMAT: - A one-line recommendation on whether/how to respond. - If responding: subject and a 40-70 word correction email. CONSTRAINTS: - Keep it short; long apologies amplify the mistake. - Do not assign blame or make excuses. - For data/privacy issues, flag escalation as [NOTIFY] rather than improvising.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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